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Rodrigues, Patrick B.; Singh, Rashmi; Oytun, Mert; Adami, Pooya; Woods, Peter J.; Becerik-Gerber, Burcin; Soibelman, Lucio; Copur-Gencturk, Yasemin; Lucas, Gale M.
A multidimensional taxonomy for human-robot interaction in construction Journal Article
In: Automation in Construction, vol. 150, pp. 104845, 2023, ISSN: 0926-5805.
@article{rodrigues_multidimensional_2023,
title = {A multidimensional taxonomy for human-robot interaction in construction},
author = {Patrick B. Rodrigues and Rashmi Singh and Mert Oytun and Pooya Adami and Peter J. Woods and Burcin Becerik-Gerber and Lucio Soibelman and Yasemin Copur-Gencturk and Gale M. Lucas},
url = {https://www.sciencedirect.com/science/article/pii/S092658052300105X},
doi = {10.1016/j.autcon.2023.104845},
issn = {0926-5805},
year = {2023},
date = {2023-06-01},
urldate = {2023-03-31},
journal = {Automation in Construction},
volume = {150},
pages = {104845},
abstract = {Despite the increased interest in construction robotics both in academia and the industry, insufficient attention has been given to aspects related to Human-Robot Interaction (HRI). Characterizing HRI for construction tasks can help researchers organize knowledge in a structured manner that allows for classifying construction robotics applications and comparing and benchmarking different studies. This paper builds upon existing taxonomies and empirical studies in HRI in various industries (e.g., construction, manufacturing, and military, among others) to propose a multidimensional taxonomy to characterize HRI applications in the construction industry. The taxonomy design followed a systematic literature review in which common themes were identified and grouped into 16 categories. The proposed taxonomy can be used as a foundation for systematic reviews and meta-analyses of HRI applications in construction and can benefit the construction industry by informing the design of collaborative tasks performed by human-robot teams.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Gibson, C. Michael; Steinhubl, Steven; Lakkireddy, Dhanunjaya; Turakhia, Mintu P.; Passman, Rod; Jones, W. Schuyler; Bunch, T. Jared; Curtis, Anne B.; Peterson, Eric D.; Ruskin, Jeremy; Saxon, Leslie; Tarino, Michael; Tarakji, Khaldoun G.; Marrouche, Nassir; Patel, Mithun; Harxhi, Ante; Kaul, Simrati; Nikolovski, Janeta; Juan, Stephanie; Wildenhaus, Kevin; Damaraju, C. V.; Spertus, John A.
Does early detection of atrial fibrillation reduce the risk of thromboembolic events? Rationale and design of the Heartline study Journal Article
In: American Heart Journal, vol. 259, pp. 30–41, 2023, ISSN: 0002-8703.
@article{gibson_does_2023,
title = {Does early detection of atrial fibrillation reduce the risk of thromboembolic events? Rationale and design of the Heartline study},
author = {C. Michael Gibson and Steven Steinhubl and Dhanunjaya Lakkireddy and Mintu P. Turakhia and Rod Passman and W. Schuyler Jones and T. Jared Bunch and Anne B. Curtis and Eric D. Peterson and Jeremy Ruskin and Leslie Saxon and Michael Tarino and Khaldoun G. Tarakji and Nassir Marrouche and Mithun Patel and Ante Harxhi and Simrati Kaul and Janeta Nikolovski and Stephanie Juan and Kevin Wildenhaus and C. V. Damaraju and John A. Spertus},
url = {https://www.sciencedirect.com/science/article/pii/S0002870323000145},
doi = {10.1016/j.ahj.2023.01.004},
issn = {0002-8703},
year = {2023},
date = {2023-05-01},
urldate = {2023-03-31},
journal = {American Heart Journal},
volume = {259},
pages = {30--41},
abstract = {Background
The impact of using direct-to-consumer wearable devices as a means to timely detect atrial fibrillation (AF) and to improve clinical outcomes is unknown.
Methods
Heartline is a pragmatic, randomized, and decentralized application-based trial of US participants aged ≥65 years. Two randomized cohorts include adults with possession of an iPhone and without a history of AF and those with a diagnosis of AF taking a direct oral anticoagulant (DOAC) for ≥30 days. Participants within each cohort are randomized (3:1) to either a core digital engagement program (CDEP) via iPhone application (Heartline application) and an Apple Watch (Apple Watch Group) or CDEP alone (iPhone-only Group). The Apple Watch Group has the watch irregular rhythm notification (IRN) feature enabled and access to the ECG application on the Apple Watch. If an IRN notification is issued for suspected AF then the study application instructs participants in the Apple Watch Group to seek medical care. All participants were “watch-naïve” at time of enrollment and have an option to either buy or loan an Apple Watch as part of this study. The primary end point is time from randomization to clinical diagnosis of AF, with confirmation by health care claims. Key secondary endpoint are claims-based incidence of a 6-component composite cardiovascular/systemic embolism/mortality event, DOAC medication use and adherence, costs/health resource utilization, and frequency of hospitalizations for bleeding. All study assessments, including patient-reported outcomes, are conducted through the study application. The target study enrollment is approximately 28,000 participants in total; at time of manuscript submission, a total of 26,485 participants have been enrolled into the study.
Conclusion
The Heartline Study will assess if an Apple Watch with the IRN and ECG application, along with application-facilitated digital health engagement modules, improves time to AF diagnosis and cardiovascular outcomes in a real-world environment.
Trial registration
ClinicalTrials.gov Identifier: NCT04276441.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The impact of using direct-to-consumer wearable devices as a means to timely detect atrial fibrillation (AF) and to improve clinical outcomes is unknown.
Methods
Heartline is a pragmatic, randomized, and decentralized application-based trial of US participants aged ≥65 years. Two randomized cohorts include adults with possession of an iPhone and without a history of AF and those with a diagnosis of AF taking a direct oral anticoagulant (DOAC) for ≥30 days. Participants within each cohort are randomized (3:1) to either a core digital engagement program (CDEP) via iPhone application (Heartline application) and an Apple Watch (Apple Watch Group) or CDEP alone (iPhone-only Group). The Apple Watch Group has the watch irregular rhythm notification (IRN) feature enabled and access to the ECG application on the Apple Watch. If an IRN notification is issued for suspected AF then the study application instructs participants in the Apple Watch Group to seek medical care. All participants were “watch-naïve” at time of enrollment and have an option to either buy or loan an Apple Watch as part of this study. The primary end point is time from randomization to clinical diagnosis of AF, with confirmation by health care claims. Key secondary endpoint are claims-based incidence of a 6-component composite cardiovascular/systemic embolism/mortality event, DOAC medication use and adherence, costs/health resource utilization, and frequency of hospitalizations for bleeding. All study assessments, including patient-reported outcomes, are conducted through the study application. The target study enrollment is approximately 28,000 participants in total; at time of manuscript submission, a total of 26,485 participants have been enrolled into the study.
Conclusion
The Heartline Study will assess if an Apple Watch with the IRN and ECG application, along with application-facilitated digital health engagement modules, improves time to AF diagnosis and cardiovascular outcomes in a real-world environment.
Trial registration
ClinicalTrials.gov Identifier: NCT04276441.
Murawski, Alaine; Ramirez-Zohfeld, Vanessa; Schierer, Allison; Olvera, Charles; Mell, Johnathan; Gratch, Jonathan; Brett, Jeanne; Lindquist, Lee A.
Transforming a Negotiation Framework to Resolve Conflicts among Older Adults and Family Caregivers Journal Article
In: Geriatrics, vol. 8, no. 2, pp. 36, 2023, ISSN: 2308-3417, (Number: 2 Publisher: Multidisciplinary Digital Publishing Institute).
@article{murawski_transforming_2023,
title = {Transforming a Negotiation Framework to Resolve Conflicts among Older Adults and Family Caregivers},
author = {Alaine Murawski and Vanessa Ramirez-Zohfeld and Allison Schierer and Charles Olvera and Johnathan Mell and Jonathan Gratch and Jeanne Brett and Lee A. Lindquist},
url = {https://www.mdpi.com/2308-3417/8/2/36},
doi = {10.3390/geriatrics8020036},
issn = {2308-3417},
year = {2023},
date = {2023-04-01},
urldate = {2023-03-31},
journal = {Geriatrics},
volume = {8},
number = {2},
pages = {36},
abstract = {Background: Family caregivers of older people with Alzheimer’s dementia (PWD) often need to advocate and resolve health-related conflicts (e.g., determining treatment necessity, billing errors, and home health extensions). As they deal with these health system conflicts, family caregivers experience unnecessary frustration, anxiety, and stress. The goal of this research was to apply a negotiation framework to resolve real-world family caregiver–older adult conflicts. Methods: We convened an interdisciplinary team of national community-based family caregivers, social workers, geriatricians, and negotiation experts (n = 9; Illinois, Florida, New York, and California) to examine the applicability of negotiation and conflict management frameworks to three older adult–caregiver conflicts (i.e., caregiver–older adult, caregiver–provider, and caregiver–caregiver). The panel of caregivers provided scenarios and dialogue describing conflicts they experienced in these three settings. A qualitative analysis was then performed grouping the responses into a framework matrix. Results: Upon presenting the three conflicts to the caregivers, 96 responses (caregiver–senior), 75 responses (caregiver–caregiver), and 80 responses (caregiver–provider) were generated. A thematic analysis showed that the statements and responses fit the interest–rights–power (IRP) negotiation framework. Discussion: The interests–rights–power (IRP) framework, used in business negotiations, provided insight into how caregivers experienced conflict with older adults, providers, and other caregivers. Future research is needed to examine applying the IRP framework in the training of caregivers of older people with Alzheimer’s dementia.},
note = {Number: 2
Publisher: Multidisciplinary Digital Publishing Institute},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Hsu, Wan-Yu; Anguera, Joaquin A.; Rizzo, Albert; Campusano, Richard; Chiaravalloti, Nancy D.; DeLuca, John; Gazzaley, Adam; Bove, Riley M.
A virtual reality program to assess cognitive function in multiple sclerosis: A pilot study Journal Article
In: Frontiers in Human Neuroscience, 2023, (Place: Lausanne, Switzerland Publisher: Frontiers Research Foundation Section: ORIGINAL RESEARCH article).
@article{hsu_virtual_2023,
title = {A virtual reality program to assess cognitive function in multiple sclerosis: A pilot study},
author = {Wan-Yu Hsu and Joaquin A. Anguera and Albert Rizzo and Richard Campusano and Nancy D. Chiaravalloti and John DeLuca and Adam Gazzaley and Riley M. Bove},
url = {https://www.proquest.com/docview/2787027204/abstract/BEA88F7BB72B4623PQ/1},
doi = {10.3389/fnhum.2023.1139316},
year = {2023},
date = {2023-03-01},
urldate = {2023-03-31},
journal = {Frontiers in Human Neuroscience},
abstract = {Introduction: Cognitive impairment is a debilitating symptom in people with multiple sclerosis (MS). Most of the neuropsychological tasks have little resemblance to everyday life. There is a need for ecologically valid tools for assessing cognition in real-life functional contexts in MS. One potential solution would involve the use of virtual reality (VR) to exert finer control over the task presentation environment; however, VR studies in the MS population are scarce. Objectives: To explore the utility and feasibility of a VR program for cognitive assessment in MS. Methods: A VR classroom embedded with a continuous performance task (CPT) was assessed in 10 non-MS adults and 10 people with MS with low cognitive functioning. Participants performed the CPT with distractors (ie. WD) and without distractors (ie. ND). The Symbol Digit Modalities Test (SDMT), California Verbal Learning Test – II (CVLT-II), and a feedback survey on the VR program were administered. Results: People with MS exhibited greater reaction time variability (RTV) compared to non-MS participants, and greater RTV in both WD and ND conditions was associated with lower SDMT. Conclusions: VR tools warrant further research to determine their value as an ecologically valid platform for assessing cognition and everyday functioning in people with MS.},
note = {Place: Lausanne, Switzerland
Publisher: Frontiers Research Foundation
Section: ORIGINAL RESEARCH article},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pynadath, David V.; Dilkina, Bistra; Jeong, David C.; John, Richard S.; Marsella, Stacy C.; Merchant, Chirag; Miller, Lynn C.; Read, Stephen J.
Disaster world Journal Article
In: Comput Math Organ Theory, vol. 29, no. 1, pp. 84–117, 2023, ISSN: 1572-9346.
@article{pynadath_disaster_2023,
title = {Disaster world},
author = {David V. Pynadath and Bistra Dilkina and David C. Jeong and Richard S. John and Stacy C. Marsella and Chirag Merchant and Lynn C. Miller and Stephen J. Read},
url = {https://doi.org/10.1007/s10588-022-09359-y},
doi = {10.1007/s10588-022-09359-y},
issn = {1572-9346},
year = {2023},
date = {2023-03-01},
urldate = {2023-03-31},
journal = {Comput Math Organ Theory},
volume = {29},
number = {1},
pages = {84--117},
abstract = {Artificial intelligence (AI) research provides a rich source of modeling languages capable of generating socially plausible simulations of human behavior, while also providing a transparent ground truth that can support validation of social-science methods applied to that simulation. In this work, we leverage two established AI representations: decision-theoretic planning and recursive modeling. Decision-theoretic planning (specifically Partially Observable Markov Decision Processes) provides agents with quantitative models of their corresponding real-world entities’ subjective (and possibly incorrect) perspectives of ground truth in the form of probabilistic beliefs and utility functions. Recursive modeling gives an agent a theory of mind, which is necessary when a person’s (again, possibly incorrect) subjective perspectives are of another person, rather than of just his/her environment. We used PsychSim, a multiagent social-simulation framework combining these two AI frameworks, to build a general parameterized model of human behavior during disaster response, grounding the model in social-psychological theories to ensure social plausibility. We then instantiated that model into alternate ground truths for simulating population response to a series of natural disasters, namely, hurricanes. The simulations generate data in response to socially plausible instruments (e.g., surveys) that serve as input to the Ground Truth program’s designated research teams for them to conduct simulated social science. The simulation also provides a graphical ground truth and a set of outcomes to be used as the gold standard in evaluating the research teams’ inferences.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Gratch, Jonathan
The promise and peril of interactive embodied agents for studying non-verbal communication: a machine learning perspective Journal Article
In: Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 378, no. 1875, pp. 20210475, 2023, (Publisher: Royal Society).
@article{gratch_promise_2023,
title = {The promise and peril of interactive embodied agents for studying non-verbal communication: a machine learning perspective},
author = {Jonathan Gratch},
url = {https://royalsocietypublishing.org/doi/abs/10.1098/rstb.2021.0475},
doi = {10.1098/rstb.2021.0475},
year = {2023},
date = {2023-03-01},
urldate = {2023-03-31},
journal = {Philosophical Transactions of the Royal Society B: Biological Sciences},
volume = {378},
number = {1875},
pages = {20210475},
abstract = {In face-to-face interactions, parties rapidly react and adapt to each other's words, movements and expressions. Any science of face-to-face interaction must develop approaches to hypothesize and rigorously test mechanisms that explain such interdependent behaviour. Yet conventional experimental designs often sacrifice interactivity to establish experimental control. Interactive virtual and robotic agents have been offered as a way to study true interactivity while enforcing a measure of experimental control by allowing participants to interact with realistic but carefully controlled partners. But as researchers increasingly turn to machine learning to add realism to such agents, they may unintentionally distort the very interactivity they seek to illuminate, particularly when investigating the role of non-verbal signals such as emotion or active-listening behaviours. Here I discuss some of the methodological challenges that may arise when machine learning is used to model the behaviour of interaction partners. By articulating and explicitly considering these commitments, researchers can transform ‘unintentional distortions’ into valuable methodological tools that yield new insights and better contextualize existing experimental findings that rely on learning technology.
This article is part of a discussion meeting issue ‘Face2face: advancing the science of social interaction’.},
note = {Publisher: Royal Society},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This article is part of a discussion meeting issue ‘Face2face: advancing the science of social interaction’.
Awada, Mohamad; Becerik-Gerber, Burcin; Liu, Ruying; Seyedrezaei, Mirmahdi; Lu, Zheng; Xenakis, Matheos; Lucas, Gale; Roll, Shawn C.; Narayanan, Shrikanth
Ten questions concerning the impact of environmental stress on office workers Journal Article
In: Building and Environment, vol. 229, pp. 109964, 2023, ISSN: 0360-1323.
@article{awada_ten_2023,
title = {Ten questions concerning the impact of environmental stress on office workers},
author = {Mohamad Awada and Burcin Becerik-Gerber and Ruying Liu and Mirmahdi Seyedrezaei and Zheng Lu and Matheos Xenakis and Gale Lucas and Shawn C. Roll and Shrikanth Narayanan},
url = {https://www.sciencedirect.com/science/article/pii/S0360132322011945},
doi = {10.1016/j.buildenv.2022.109964},
issn = {0360-1323},
year = {2023},
date = {2023-02-01},
urldate = {2023-03-31},
journal = {Building and Environment},
volume = {229},
pages = {109964},
abstract = {We regularly face stress during our everyday activities, to the extent that stress is recognized by the World Health Organization as the epidemic of the 21st century. Stress is how humans respond physically and psychologically to adjustments, experiences, conditions, and circumstances in their lives. While there are many reasons for stress, work and job pressure remain the main cause. Thus, companies are increasingly interested in creating healthier, more comfortable, and stress-free offices for their workers. The indoor environment can induce environmental stress when it cannot satisfy the individual needs for health and comfort. In fact, office environmental conditions (e.g., thermal, and indoor air conditions, lighting, and noise) and interior design parameters (e.g., office layout, colors, furniture, access to views, distance to window, personal control and biophilic design) have been found to affect office workers' stress levels. A line of research based on the stress recovery theory offers new insights for establishing offices that limit environmental stress and help with work stress recovery. To that end, this paper answers ten questions that explore the relation between the indoor office-built environment and stress levels among workers. The answers to the ten questions are based on an extensive literature review to draw conclusions from what has been achieved to date. Thus, this study presents a foundation for future environmental stress related research in offices.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Mozgai, Sharon; Beland, Sarah; Leeds, Andrew; Winn, Jade G.; Kaurloto, Cari; Heylen, Dirk; Hartholt, Arno
Toward a Scoping Review of Social Intelligence in Virtual Humans Inproceedings
In: 2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG), pp. 1–6, 2023.
@inproceedings{mozgai_toward_2023,
title = {Toward a Scoping Review of Social Intelligence in Virtual Humans},
author = {Sharon Mozgai and Sarah Beland and Andrew Leeds and Jade G. Winn and Cari Kaurloto and Dirk Heylen and Arno Hartholt},
url = {https://ieeexplore.ieee.org/abstract/document/10042532},
doi = {10.1109/FG57933.2023.10042532},
year = {2023},
date = {2023-01-01},
booktitle = {2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)},
pages = {1--6},
abstract = {As the demand for socially intelligent Virtual Humans (VHs) increases, so follows the demand for effective and efficient cross-discipline collaboration that is required to bring these VHs “to life”. One avenue for increasing cross-discipline fluency is the aggregation and organization of seemingly disparate areas of research and development (e.g., graphics and emotion models) that are essential to the field of VH research. Our initial investigation (1) identifies and catalogues research streams concentrated in three multidisciplinary VH topic clusters within the domain of social intelligence, Emotion, Social Behavior, and The Face, (2) brings to the forefront key themes and prolific authors within each topic cluster, and (3) provides evidence that a full scoping review is warranted to further map the field, aggregate research findings, and identify gaps in the research. To enable collaboration, we provide full access to the refined VH cluster datasets, key word and author word clouds, as well as interactive evidence maps.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Hartholt, Arno; Mozgai, Sharon
Creating Virtual Worlds with the Virtual Human Toolkit and the Rapid Integration & Development Environment Inproceedings
In: Intelligent Human Systems Integration (IHSI 2023): Integrating People and Intelligent Systems, AHFE Open Acces, 2023, ISBN: 978-1-958651-45-2, (ISSN: 27710718 Issue: 69).
@inproceedings{hartholt_creating_2023,
title = {Creating Virtual Worlds with the Virtual Human Toolkit and the Rapid Integration & Development Environment},
author = {Arno Hartholt and Sharon Mozgai},
url = {https://openaccess.cms-conferences.org/publications/book/978-1-958651-45-2/article/978-1-958651-45-2_41},
doi = {10.54941/ahfe1002856},
isbn = {978-1-958651-45-2},
year = {2023},
date = {2023-01-01},
urldate = {2023-03-31},
booktitle = {Intelligent Human Systems Integration (IHSI 2023): Integrating People and Intelligent Systems},
volume = {69},
publisher = {AHFE Open Acces},
abstract = {The research and development of virtual humans, and the virtual worlds they inhabit, is inherently complex, requiring interdisciplinary approaches that combine social sciences, computer science, design, art, production, and domain expertise. Our previous work in managing this complexity has resulted in the release of the Virtual Human Toolkit (VHToolkit), aimed at lowering the burden of creating embodied conversational agents. In our current efforts, we are integrating the VHToolkit with the Rapid Integration & Development Environment (RIDE), a rapid prototyping modeling and simulation middleware platform that leverages real-time game engines. This integration results in the ability to mix and match commercial AI services from AWS, Azure, and Google, as well as leverage novel 3D geospatial terrain creation pipelines. Combined with dedicated authoring tools that have been developed through human-centered design processes, the platform enables researchers, developers, and domain experts to rapidly create digital worlds with virtual humans for both military and civilian contexts. Our approach is highly interdisciplinary, including academia, government, and industry collaborators. The demonstration shows a user interacting with an embodied conversational agent embedded within real-world captured and virtualized terrain. Further research and development features of the platform are shown, including scripted agent behaviors, networked team play, and machine learning interfaces.},
note = {ISSN: 27710718
Issue: 69},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Vlake, Johan H.; Bommel, Jasper; Riva, Giuseppe; Wiederhold, Brenda K.; Cipresso, Pietro; Rizzo, Albert Skip; Botella, Cristina; Hooft, Lotty; Bienvenu, O. Joseph; Geerts, Bart; Wils, Evert-Jan; Gommers, Diederik; Genderen, Michel E.
Reporting the early stage clinical evaluation of virtual-reality-based intervention trials: RATE-VR Journal Article
In: Nat Med, vol. 29, no. 1, pp. 12–13, 2023, ISSN: 1546-170X, (Number: 1 Publisher: Nature Publishing Group).
@article{vlake_reporting_2023,
title = {Reporting the early stage clinical evaluation of virtual-reality-based intervention trials: RATE-VR},
author = {Johan H. Vlake and Jasper Bommel and Giuseppe Riva and Brenda K. Wiederhold and Pietro Cipresso and Albert Skip Rizzo and Cristina Botella and Lotty Hooft and O. Joseph Bienvenu and Bart Geerts and Evert-Jan Wils and Diederik Gommers and Michel E. Genderen},
url = {https://www.nature.com/articles/s41591-022-02085-7},
doi = {10.1038/s41591-022-02085-7},
issn = {1546-170X},
year = {2023},
date = {2023-01-01},
urldate = {2023-03-31},
journal = {Nat Med},
volume = {29},
number = {1},
pages = {12--13},
note = {Number: 1
Publisher: Nature Publishing Group},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Chawla, Kushal; Clever, Rene; Ramirez, Jaysa; Lucas, Gale M.; Gratch, Jonathan
Towards Emotion-Aware Agents for Improved User Satisfaction and Partner Perception in Negotiation Dialogues Journal Article
In: IEEE Transactions on Affective Computing, pp. 1–12, 2023, ISSN: 1949-3045, (Conference Name: IEEE Transactions on Affective Computing).
@article{chawla_towards_2023,
title = {Towards Emotion-Aware Agents for Improved User Satisfaction and Partner Perception in Negotiation Dialogues},
author = {Kushal Chawla and Rene Clever and Jaysa Ramirez and Gale M. Lucas and Jonathan Gratch},
url = {https://ieeexplore.ieee.org/abstract/document/10021626},
doi = {10.1109/TAFFC.2023.3238007},
issn = {1949-3045},
year = {2023},
date = {2023-01-01},
journal = {IEEE Transactions on Affective Computing},
pages = {1--12},
abstract = {Negotiation is a complex social interaction that encapsulates emotional encounters in human decision-making. Virtual agents that can negotiate with humans by the means of language are useful in pedagogy and conversational AI. To advance the development of such agents, we explore the role of emotion in the prediction of two important subjective goals in a negotiation – outcome satisfaction and partner perception. We devise ways to measure and compare different degrees of emotion expression in negotiation dialogues, consisting of emoticon, lexical, and contextual variables. Through an extensive analysis of a large-scale dataset in chat-based negotiations, we find that incorporating emotion expression explains significantly more variance, above and beyond the demographics and personality traits of the participants. Further, our temporal analysis reveals that emotive information from both early and later stages of the negotiation contributes to this prediction, indicating the need for a continual learning model of capturing emotion for automated agents. Finally, we extend our analysis to another dataset, showing promise that our findings generalize to more complex scenarios. We conclude by discussing our insights, which will be helpful for designing adaptive negotiation agents that interact through realistic communication interfaces.},
note = {Conference Name: IEEE Transactions on Affective Computing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Lei, Su; Gratch, Jonathan
Emotional Expressivity is a Reliable Signal of Surprise Journal Article
In: IEEE Transactions on Affective Computing, pp. 1–12, 2023, ISSN: 1949-3045, (Conference Name: IEEE Transactions on Affective Computing).
@article{lei_emotional_2023,
title = {Emotional Expressivity is a Reliable Signal of Surprise},
author = {Su Lei and Jonathan Gratch},
doi = {10.1109/TAFFC.2023.3234015},
issn = {1949-3045},
year = {2023},
date = {2023-01-01},
journal = {IEEE Transactions on Affective Computing},
pages = {1--12},
abstract = {We consider the problem of inferring what happened to a person in a social task from momentary facial reactions. To approach this, we introduce several innovations. First, rather than predicting what (observers think) someone feels, we predict objective features of the event that immediately preceded the facial reactions. Second, we draw on appraisal theory, a key psychological theory of emotion, to characterize features of this immediately-preceded event. Specifically, we explore if facial expressions reveal if the event is expected, goal-congruent, and norm-compatible. Finally, we argue that emotional expressivity serves as a better feature for characterizing momentary expressions than traditional facial features. Specifically, we use supervised machine learning to predict third-party judgments of emotional expressivity with high accuracy, and show this model improves inferences about the nature of the event that preceded an emotional reaction. Contrary to common sense, “genuine smiles” failed to predict if an event advanced a person's goals. Rather, expressions best revealed if an event violated expectations. We discussed the implications of these findings for the interpretation of facial displays and potential limitations that could impact the generality of these findings.},
note = {Conference Name: IEEE Transactions on Affective Computing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Lucas, Gale M.; Mell, Johnathan; Boberg, Jill; Zenone, Forrest; Visser, Ewart J.; Tossell, Chad; Seech, Todd
Customizing virtual interpersonal skills training applications may not improve trainee performance Journal Article
In: Sci Rep, vol. 13, no. 1, pp. 78, 2023, ISSN: 2045-2322, (Number: 1 Publisher: Nature Publishing Group).
@article{lucas_customizing_2023,
title = {Customizing virtual interpersonal skills training applications may not improve trainee performance},
author = {Gale M. Lucas and Johnathan Mell and Jill Boberg and Forrest Zenone and Ewart J. Visser and Chad Tossell and Todd Seech},
url = {https://www.nature.com/articles/s41598-022-27154-2},
doi = {10.1038/s41598-022-27154-2},
issn = {2045-2322},
year = {2023},
date = {2023-01-01},
urldate = {2023-03-31},
journal = {Sci Rep},
volume = {13},
number = {1},
pages = {78},
abstract = {While some theoretical perspectives imply that the context of a virtual training should be customized to match the intended context where those skills would ultimately be applied, others suggest this might not be necessary for learning. It is important to determine whether manipulating context matters for performance in training applications because customized virtual training systems made for specific use cases are more costly than generic “off-the-shelf” ones designed for a broader set of users. Accordingly, we report a study where military cadets use a virtual platform to practice their negotiation skills, and are randomly assigned to one of two virtual context conditions: military versus civilian. Out of 28 measures capturing performance in the negotiation, there was only one significant result: cadets in the civilian condition politely ask the agent to make an offer significantly more than those in the military condition. These results imply that—for this interpersonal skills application, and perhaps ones like it—virtual context may matter very little for performance during social skills training, and that commercial systems may yield real benefits to military scenarios with little-to-no modification.},
note = {Number: 1
Publisher: Nature Publishing Group},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Adami, Pooya; Singh, Rashmi; Rodrigues, Patrick Borges; Becerik-Gerber, Burcin; Soibelman, Lucio; Copur-Gencturk, Yasemin; Lucas, Gale
In: Advanced Engineering Informatics, vol. 55, pp. 101837, 2023, ISSN: 1474-0346.
@article{adami_participants_2023,
title = {Participants matter: Effectiveness of VR-based training on the knowledge, trust in the robot, and self-efficacy of construction workers and university students},
author = {Pooya Adami and Rashmi Singh and Patrick Borges Rodrigues and Burcin Becerik-Gerber and Lucio Soibelman and Yasemin Copur-Gencturk and Gale Lucas},
url = {https://www.sciencedirect.com/science/article/pii/S1474034622002956},
doi = {10.1016/j.aei.2022.101837},
issn = {1474-0346},
year = {2023},
date = {2023-01-01},
urldate = {2023-03-31},
journal = {Advanced Engineering Informatics},
volume = {55},
pages = {101837},
abstract = {Virtual Reality (VR)-based training has gained attention from the scientific community in the Architecture, Engineering, and Construction (AEC) industry as a cost-effective and safe method that eliminates the safety risks that may impose on workers during the training compared to traditional training methods (e.g., in-person hands-on training, apprenticeship). Although researchers have developed VR-based training for construction workers, some have recruited students rather than workers to understand the effect of their VR-based training. However, students are different from construction workers in many ways, which can threaten the validity of such studies. Hence, research is needed to investigate the extent to which the findings of a VR-based training study are contingent on whether students or construction workers were used as the study sample. This paper strives to compare the effectiveness of VR-based training on university students’ and construction workers’ knowledge acquisition, trust in the robot, and robot operation self-efficacy in remote operation of a construction robot. Twenty-five construction workers and twenty-five graduate construction engineering students were recruited to complete a VR-based training for remote operating a demolition robot. We used quantitative analyses to answer our research questions. Our study shows that the results are dependent on the target sample in that students gained more knowledge, whereas construction workers gained more trust in the robot and more self-efficacy in robot operation. These findings suggest that the effectiveness of VR-based training on students may not necessarily associate with its effectiveness on construction workers.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Maihofer, Adam X.; Engchuan, Worrawat; Huguet, Guillaume; Klein, Marieke; MacDonald, Jeffrey R.; Shanta, Omar; Thiruvahindrapuram, Bhooma; Jean-louis, Martineau; Saci, Zohra; Jacquemont, Sebastien; Scherer, Stephen W.; Ketema, Elizabeth; Aiello, Allison E.; Amstadter, Ananda B.; Avdibegović, Esmina; Babic, Dragan; Baker, Dewleen G.; Bisson, Jonathan I.; Boks, Marco P.; Bolger, Elizabeth A.; Bryant, Richard A.; Bustamante, Angela C.; Caldas-de-Almeida, Jose Miguel; Cardoso, Graça; Deckert, Jurgen; Delahanty, Douglas L.; Domschke, Katharina; Dunlop, Boadie W.; Dzubur-Kulenovic, Alma; Evans, Alexandra; Feeny, Norah C.; Franz, Carol E.; Gautam, Aarti; Geuze, Elbert; Goci, Aferdita; Hammamieh, Rasha; Jakovljevic, Miro; Jett, Marti; Jones, Ian; Kaufman, Milissa L.; Kessler, Ronald C.; King, Anthony P.; Kremen, William S.; Lawford, Bruce R.; Lebois, Lauren A. M.; Lewis, Catrin; Liberzon, Israel; Linnstaedt, Sarah D.; Lugonja, Bozo; Luykx, Jurjen J.; Lyons, Michael J.; Mavissakalian, Matig R.; McLaughlin, Katie A.; McLean, Samuel A.; Mehta, Divya; Mellor, Rebecca; Morris, Charles Phillip; Muhie, Seid; Orcutt, Holly K.; Peverill, Matthew; Ratanatharathorn, Andrew; Risbrough, Victoria B.; Rizzo, Albert; Roberts, Andrea L.; Rothbaum, Alex O.; Rothbaum, Barbara O.; Roy-Byrne, Peter; Ruggiero, Kenneth J.; Rutten, Bart P. F.; Schijven, Dick; Seng, Julia S.; Sheerin, Christina M.; Sorenson, Michael A.; Teicher, Martin H.; Uddin, Monica; Ursano, Robert J.; Vinkers, Christiaan H.; Voisey, Joanne; Weber, Heike; Winternitz, Sherry; Xavier, Miguel; Yang, Ruoting; Young, Ross McD; Zoellner, Lori A.; Salem, Rany M.; Shaffer, Richard A.; Wu, Tianying; Ressler, Kerry J.; Stein, Murray B.; Koenen, Karestan C.; Sebat, Jonathan; Nievergelt, Caroline M.
Rare copy number variation in posttraumatic stress disorder Journal Article
In: Mol Psychiatry, vol. 27, no. 12, pp. 5062–5069, 2022, ISSN: 1476-5578, (Number: 12 Publisher: Nature Publishing Group).
@article{maihofer_rare_2022,
title = {Rare copy number variation in posttraumatic stress disorder},
author = {Adam X. Maihofer and Worrawat Engchuan and Guillaume Huguet and Marieke Klein and Jeffrey R. MacDonald and Omar Shanta and Bhooma Thiruvahindrapuram and Martineau Jean-louis and Zohra Saci and Sebastien Jacquemont and Stephen W. Scherer and Elizabeth Ketema and Allison E. Aiello and Ananda B. Amstadter and Esmina Avdibegović and Dragan Babic and Dewleen G. Baker and Jonathan I. Bisson and Marco P. Boks and Elizabeth A. Bolger and Richard A. Bryant and Angela C. Bustamante and Jose Miguel Caldas-de-Almeida and Graça Cardoso and Jurgen Deckert and Douglas L. Delahanty and Katharina Domschke and Boadie W. Dunlop and Alma Dzubur-Kulenovic and Alexandra Evans and Norah C. Feeny and Carol E. Franz and Aarti Gautam and Elbert Geuze and Aferdita Goci and Rasha Hammamieh and Miro Jakovljevic and Marti Jett and Ian Jones and Milissa L. Kaufman and Ronald C. Kessler and Anthony P. King and William S. Kremen and Bruce R. Lawford and Lauren A. M. Lebois and Catrin Lewis and Israel Liberzon and Sarah D. Linnstaedt and Bozo Lugonja and Jurjen J. Luykx and Michael J. Lyons and Matig R. Mavissakalian and Katie A. McLaughlin and Samuel A. McLean and Divya Mehta and Rebecca Mellor and Charles Phillip Morris and Seid Muhie and Holly K. Orcutt and Matthew Peverill and Andrew Ratanatharathorn and Victoria B. Risbrough and Albert Rizzo and Andrea L. Roberts and Alex O. Rothbaum and Barbara O. Rothbaum and Peter Roy-Byrne and Kenneth J. Ruggiero and Bart P. F. Rutten and Dick Schijven and Julia S. Seng and Christina M. Sheerin and Michael A. Sorenson and Martin H. Teicher and Monica Uddin and Robert J. Ursano and Christiaan H. Vinkers and Joanne Voisey and Heike Weber and Sherry Winternitz and Miguel Xavier and Ruoting Yang and Ross McD Young and Lori A. Zoellner and Rany M. Salem and Richard A. Shaffer and Tianying Wu and Kerry J. Ressler and Murray B. Stein and Karestan C. Koenen and Jonathan Sebat and Caroline M. Nievergelt},
url = {https://www.nature.com/articles/s41380-022-01776-4},
doi = {10.1038/s41380-022-01776-4},
issn = {1476-5578},
year = {2022},
date = {2022-12-01},
urldate = {2023-03-31},
journal = {Mol Psychiatry},
volume = {27},
number = {12},
pages = {5062--5069},
abstract = {Posttraumatic stress disorder (PTSD) is a heritable (h2 = 24–71%) psychiatric illness. Copy number variation (CNV) is a form of rare genetic variation that has been implicated in the etiology of psychiatric disorders, but no large-scale investigation of CNV in PTSD has been performed. We present an association study of CNV burden and PTSD symptoms in a sample of 114,383 participants (13,036 cases and 101,347 controls) of European ancestry. CNVs were called using two calling algorithms and intersected to a consensus set. Quality control was performed to remove strong outlier samples. CNVs were examined for association with PTSD within each cohort using linear or logistic regression analysis adjusted for population structure and CNV quality metrics, then inverse variance weighted meta-analyzed across cohorts. We examined the genome-wide total span of CNVs, enrichment of CNVs within specified gene-sets, and CNVs overlapping individual genes and implicated neurodevelopmental regions. The total distance covered by deletions crossing over known neurodevelopmental CNV regions was significant (beta = 0.029},
note = {Number: 12
Publisher: Nature Publishing Group},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Becerik-Gerber, Burcin; Lucas, Gale; Aryal, Ashrant; Awada, Mohamad; Bergés, Mario; Billington, Sarah; Boric-Lubecke, Olga; Ghahramani, Ali; Heydarian, Arsalan; Höelscher, Christoph; Jazizadeh, Farrokh; Khan, Azam; Langevin, Jared; Liu, Ruying; Marks, Frederick; Mauriello, Matthew Louis; Murnane, Elizabeth; Noh, Haeyoung; Pritoni, Marco; Roll, Shawn; Schaumann, Davide; Seyedrezaei, Mirmahdi; Taylor, John E.; Zhao, Jie; Zhu, Runhe
The field of human building interaction for convergent research and innovation for intelligent built environments Journal Article
In: Sci Rep, vol. 12, no. 1, pp. 22092, 2022, ISSN: 2045-2322, (Number: 1 Publisher: Nature Publishing Group).
@article{becerik-gerber_field_2022,
title = {The field of human building interaction for convergent research and innovation for intelligent built environments},
author = {Burcin Becerik-Gerber and Gale Lucas and Ashrant Aryal and Mohamad Awada and Mario Bergés and Sarah Billington and Olga Boric-Lubecke and Ali Ghahramani and Arsalan Heydarian and Christoph Höelscher and Farrokh Jazizadeh and Azam Khan and Jared Langevin and Ruying Liu and Frederick Marks and Matthew Louis Mauriello and Elizabeth Murnane and Haeyoung Noh and Marco Pritoni and Shawn Roll and Davide Schaumann and Mirmahdi Seyedrezaei and John E. Taylor and Jie Zhao and Runhe Zhu},
url = {https://www.nature.com/articles/s41598-022-25047-y},
doi = {10.1038/s41598-022-25047-y},
issn = {2045-2322},
year = {2022},
date = {2022-12-01},
urldate = {2023-03-31},
journal = {Sci Rep},
volume = {12},
number = {1},
pages = {22092},
abstract = {Human-Building Interaction (HBI) is a convergent field that represents the growing complexities of the dynamic interplay between human experience and intelligence within built environments. This paper provides core definitions, research dimensions, and an overall vision for the future of HBI as developed through consensus among 25 interdisciplinary experts in a series of facilitated workshops. Three primary areas contribute to and require attention in HBI research: humans (human experiences, performance, and well-being), buildings (building design and operations), and technologies (sensing, inference, and awareness). Three critical interdisciplinary research domains intersect these areas: control systems and decision making, trust and collaboration, and modeling and simulation. Finally, at the core, it is vital for HBI research to center on and support equity, privacy, and sustainability. Compelling research questions are posed for each primary area, research domain, and core principle. State-of-the-art methods used in HBI studies are discussed, and examples of original research are offered to illustrate opportunities for the advancement of HBI research.},
note = {Number: 1
Publisher: Nature Publishing Group},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Becerik-Gerber, Burçin; Lucas, Gale; Aryal, Ashrant; Awada, Mohamad; Bergés, Mario; Billington, Sarah L; Boric-Lubecke, Olga; Ghahramani, Ali; Heydarian, Arsalan; Jazizadeh, Farrokh; Liu, Ruying; Zhu, Runhe; Marks, Frederick; Roll, Shawn; Seyedrezaei, Mirmahdi; Taylor, John E.; Höelscher, Christoph; Khan, Azam; Langevin, Jared; Mauriello, Matthew Louis; Murnane, Elizabeth; Noh, Haeyoung; Pritoni, Marco; Schaumann, Davide; Zhao, Jie
Ten questions concerning human-building interaction research for improving the quality of life Journal Article
In: Building and Environment, vol. 226, pp. 109681, 2022, ISSN: 0360-1323.
@article{becerik-gerber_ten_2022,
title = {Ten questions concerning human-building interaction research for improving the quality of life},
author = {Burçin Becerik-Gerber and Gale Lucas and Ashrant Aryal and Mohamad Awada and Mario Bergés and Sarah L Billington and Olga Boric-Lubecke and Ali Ghahramani and Arsalan Heydarian and Farrokh Jazizadeh and Ruying Liu and Runhe Zhu and Frederick Marks and Shawn Roll and Mirmahdi Seyedrezaei and John E. Taylor and Christoph Höelscher and Azam Khan and Jared Langevin and Matthew Louis Mauriello and Elizabeth Murnane and Haeyoung Noh and Marco Pritoni and Davide Schaumann and Jie Zhao},
url = {https://www.sciencedirect.com/science/article/pii/S0360132322009118},
doi = {10.1016/j.buildenv.2022.109681},
issn = {0360-1323},
year = {2022},
date = {2022-12-01},
urldate = {2023-03-31},
journal = {Building and Environment},
volume = {226},
pages = {109681},
abstract = {This paper seeks to address ten questions that explore the burgeoning field of Human-Building Interaction (HBI), an interdisciplinary field that represents the next frontier in convergent research and innovation to enable the dynamic interplay of human and building interactional intelligence. The field of HBI builds on several existing efforts in historically separate research fields/communities and aims to understand how buildings affect human outcomes and experiences, as well as how humans interact with, adapt to, and affect the built environment and its systems, to support buildings that can learn, enable adaptation, and evolve at different scales to improve the quality-of-life of its users while optimizing resource usage and service availability. Questions were developed by a diverse group of researchers with backgrounds in design, engineering, computer science, social science, and health science. Answers to these questions draw conclusions from what has been achieved to date as reported in the available literature and establish a foundation for future HBI research. This paper aims to encourage interdisciplinary collaborations in HBI research to change the way people interact with and perceive technology within the context of buildings and inform the design, construction, and operation of next-generation, intelligent built environments. In doing so, HBI research can realize a myriad of benefits for human users, including improved productivity, health, cognition, convenience, and comfort, all of which are essential to societal well-being.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Zhu, Runhe; Lucas, Gale M.; Becerik-Gerber, Burcin; Southers, Erroll G.; Landicho, Earl
The impact of security countermeasures on human behavior during active shooter incidents Journal Article
In: Sci Rep, vol. 12, no. 1, pp. 929, 2022, ISSN: 2045-2322.
@article{zhu_impact_2022,
title = {The impact of security countermeasures on human behavior during active shooter incidents},
author = {Runhe Zhu and Gale M. Lucas and Burcin Becerik-Gerber and Erroll G. Southers and Earl Landicho},
url = {https://www.nature.com/articles/s41598-022-04922-8},
doi = {10.1038/s41598-022-04922-8},
issn = {2045-2322},
year = {2022},
date = {2022-12-01},
urldate = {2022-09-26},
journal = {Sci Rep},
volume = {12},
number = {1},
pages = {929},
abstract = {Abstract Active shooter incidents represent an increasing threat to American society, especially in commercial and educational buildings. In recent years, a wide variety of security countermeasures have been recommended by public and governmental agencies. Many of these countermeasures are aimed to increase building security, yet their impact on human behavior when an active shooter incident occurs remains underexplored. To fill this research gap, we conducted virtual experiments to evaluate the impact of countermeasures on human behavior during active shooter incidents. A total of 162 office workers and middle/high school teachers were recruited to respond to an active shooter incident in virtual office and school buildings with or without the implementation of multiple countermeasures. The experiment results showed countermeasures significantly influenced participants’ response time and decisions (e.g., run, hide, fight). Participants’ responses and perceptions of the active shooter incident were also contingent on their daily roles, as well as building and social contexts. Teachers had more concerns for occupants’ safety than office workers. Moreover, teachers had more positive perceptions of occupants in the school, whereas office workers had more positive perceptions of occupants in the office.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Difede, JoAnn; Rothbaum, Barbara O.; Rizzo, Albert A.; Wyka, Katarzyna; Spielman, Lisa; Reist, Christopher; Roy, Michael J.; Jovanovic, Tanja; Norrholm, Seth D.; Cukor, Judith; Olden, Megan; Glatt, Charles E.; Lee, Francis S.
In: Transl Psychiatry, vol. 12, no. 1, pp. 299, 2022, ISSN: 2158-3188.
@article{difede_enhancing_2022,
title = {Enhancing exposure therapy for posttraumatic stress disorder (PTSD): a randomized clinical trial of virtual reality and imaginal exposure with a cognitive enhancer},
author = {JoAnn Difede and Barbara O. Rothbaum and Albert A. Rizzo and Katarzyna Wyka and Lisa Spielman and Christopher Reist and Michael J. Roy and Tanja Jovanovic and Seth D. Norrholm and Judith Cukor and Megan Olden and Charles E. Glatt and Francis S. Lee},
url = {https://www.nature.com/articles/s41398-022-02066-x},
doi = {10.1038/s41398-022-02066-x},
issn = {2158-3188},
year = {2022},
date = {2022-12-01},
urldate = {2022-09-13},
journal = {Transl Psychiatry},
volume = {12},
number = {1},
pages = {299},
abstract = {Abstract Posttraumatic stress disorder (PTSD) is a significant public health issue. Yet, there are limited treatment options and no data to suggest which treatment will work for whom. We tested the efficacy of virtual reality exposure (VRE) or prolonged imaginal exposure (PE), augmented with D-cycloserine (DCS) for combat-related PTSD. As an exploratory aim, we examined whether brain-derived neurotrophic factor (BDNF) and fatty acid amide hydrolase (FAAH) moderated treatment response. Military personnel with PTSD ( n = 192) were recruited into a multisite double-blind randomized controlled trial to receive nine weeks of VRE or PE, with DCS or placebo. Primary outcome was the improvement in symptom severity. Randomization was stratified by comorbid depression (MDD) and site. Participants in both VRE and PE showed similar meaningful clinical improvement with no difference between the treatment groups. A significant interaction ( p = 0.45) suggested VRE was more effective for depressed participants (CAPS difference M = 3.51 [95% CI 1.17–5.86]},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Hartholt, Arno; Mozgai, Sharon
Platforms and Tools for SIA Research and Development Incollection
In: The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application, vol. 48, pp. 261–304, Association for Computing Machinery, New York, NY, USA, 2022, ISBN: 978-1-4503-9896-1.
@incollection{hartholt_platforms_2022,
title = {Platforms and Tools for SIA Research and Development},
author = {Arno Hartholt and Sharon Mozgai},
url = {https://doi.org/10.1145/3563659.3563668},
isbn = {978-1-4503-9896-1},
year = {2022},
date = {2022-11-01},
urldate = {2023-03-31},
booktitle = {The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application},
volume = {48},
pages = {261--304},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
edition = {1},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Filter
2023
Rodrigues, Patrick B.; Singh, Rashmi; Oytun, Mert; Adami, Pooya; Woods, Peter J.; Becerik-Gerber, Burcin; Soibelman, Lucio; Copur-Gencturk, Yasemin; Lucas, Gale M.
A multidimensional taxonomy for human-robot interaction in construction Journal Article
In: Automation in Construction, vol. 150, pp. 104845, 2023, ISSN: 0926-5805.
Abstract | Links | BibTeX | Tags:
@article{rodrigues_multidimensional_2023,
title = {A multidimensional taxonomy for human-robot interaction in construction},
author = {Patrick B. Rodrigues and Rashmi Singh and Mert Oytun and Pooya Adami and Peter J. Woods and Burcin Becerik-Gerber and Lucio Soibelman and Yasemin Copur-Gencturk and Gale M. Lucas},
url = {https://www.sciencedirect.com/science/article/pii/S092658052300105X},
doi = {10.1016/j.autcon.2023.104845},
issn = {0926-5805},
year = {2023},
date = {2023-06-01},
urldate = {2023-03-31},
journal = {Automation in Construction},
volume = {150},
pages = {104845},
abstract = {Despite the increased interest in construction robotics both in academia and the industry, insufficient attention has been given to aspects related to Human-Robot Interaction (HRI). Characterizing HRI for construction tasks can help researchers organize knowledge in a structured manner that allows for classifying construction robotics applications and comparing and benchmarking different studies. This paper builds upon existing taxonomies and empirical studies in HRI in various industries (e.g., construction, manufacturing, and military, among others) to propose a multidimensional taxonomy to characterize HRI applications in the construction industry. The taxonomy design followed a systematic literature review in which common themes were identified and grouped into 16 categories. The proposed taxonomy can be used as a foundation for systematic reviews and meta-analyses of HRI applications in construction and can benefit the construction industry by informing the design of collaborative tasks performed by human-robot teams.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Gibson, C. Michael; Steinhubl, Steven; Lakkireddy, Dhanunjaya; Turakhia, Mintu P.; Passman, Rod; Jones, W. Schuyler; Bunch, T. Jared; Curtis, Anne B.; Peterson, Eric D.; Ruskin, Jeremy; Saxon, Leslie; Tarino, Michael; Tarakji, Khaldoun G.; Marrouche, Nassir; Patel, Mithun; Harxhi, Ante; Kaul, Simrati; Nikolovski, Janeta; Juan, Stephanie; Wildenhaus, Kevin; Damaraju, C. V.; Spertus, John A.
Does early detection of atrial fibrillation reduce the risk of thromboembolic events? Rationale and design of the Heartline study Journal Article
In: American Heart Journal, vol. 259, pp. 30–41, 2023, ISSN: 0002-8703.
Abstract | Links | BibTeX | Tags:
@article{gibson_does_2023,
title = {Does early detection of atrial fibrillation reduce the risk of thromboembolic events? Rationale and design of the Heartline study},
author = {C. Michael Gibson and Steven Steinhubl and Dhanunjaya Lakkireddy and Mintu P. Turakhia and Rod Passman and W. Schuyler Jones and T. Jared Bunch and Anne B. Curtis and Eric D. Peterson and Jeremy Ruskin and Leslie Saxon and Michael Tarino and Khaldoun G. Tarakji and Nassir Marrouche and Mithun Patel and Ante Harxhi and Simrati Kaul and Janeta Nikolovski and Stephanie Juan and Kevin Wildenhaus and C. V. Damaraju and John A. Spertus},
url = {https://www.sciencedirect.com/science/article/pii/S0002870323000145},
doi = {10.1016/j.ahj.2023.01.004},
issn = {0002-8703},
year = {2023},
date = {2023-05-01},
urldate = {2023-03-31},
journal = {American Heart Journal},
volume = {259},
pages = {30--41},
abstract = {Background
The impact of using direct-to-consumer wearable devices as a means to timely detect atrial fibrillation (AF) and to improve clinical outcomes is unknown.
Methods
Heartline is a pragmatic, randomized, and decentralized application-based trial of US participants aged ≥65 years. Two randomized cohorts include adults with possession of an iPhone and without a history of AF and those with a diagnosis of AF taking a direct oral anticoagulant (DOAC) for ≥30 days. Participants within each cohort are randomized (3:1) to either a core digital engagement program (CDEP) via iPhone application (Heartline application) and an Apple Watch (Apple Watch Group) or CDEP alone (iPhone-only Group). The Apple Watch Group has the watch irregular rhythm notification (IRN) feature enabled and access to the ECG application on the Apple Watch. If an IRN notification is issued for suspected AF then the study application instructs participants in the Apple Watch Group to seek medical care. All participants were “watch-naïve” at time of enrollment and have an option to either buy or loan an Apple Watch as part of this study. The primary end point is time from randomization to clinical diagnosis of AF, with confirmation by health care claims. Key secondary endpoint are claims-based incidence of a 6-component composite cardiovascular/systemic embolism/mortality event, DOAC medication use and adherence, costs/health resource utilization, and frequency of hospitalizations for bleeding. All study assessments, including patient-reported outcomes, are conducted through the study application. The target study enrollment is approximately 28,000 participants in total; at time of manuscript submission, a total of 26,485 participants have been enrolled into the study.
Conclusion
The Heartline Study will assess if an Apple Watch with the IRN and ECG application, along with application-facilitated digital health engagement modules, improves time to AF diagnosis and cardiovascular outcomes in a real-world environment.
Trial registration
ClinicalTrials.gov Identifier: NCT04276441.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The impact of using direct-to-consumer wearable devices as a means to timely detect atrial fibrillation (AF) and to improve clinical outcomes is unknown.
Methods
Heartline is a pragmatic, randomized, and decentralized application-based trial of US participants aged ≥65 years. Two randomized cohorts include adults with possession of an iPhone and without a history of AF and those with a diagnosis of AF taking a direct oral anticoagulant (DOAC) for ≥30 days. Participants within each cohort are randomized (3:1) to either a core digital engagement program (CDEP) via iPhone application (Heartline application) and an Apple Watch (Apple Watch Group) or CDEP alone (iPhone-only Group). The Apple Watch Group has the watch irregular rhythm notification (IRN) feature enabled and access to the ECG application on the Apple Watch. If an IRN notification is issued for suspected AF then the study application instructs participants in the Apple Watch Group to seek medical care. All participants were “watch-naïve” at time of enrollment and have an option to either buy or loan an Apple Watch as part of this study. The primary end point is time from randomization to clinical diagnosis of AF, with confirmation by health care claims. Key secondary endpoint are claims-based incidence of a 6-component composite cardiovascular/systemic embolism/mortality event, DOAC medication use and adherence, costs/health resource utilization, and frequency of hospitalizations for bleeding. All study assessments, including patient-reported outcomes, are conducted through the study application. The target study enrollment is approximately 28,000 participants in total; at time of manuscript submission, a total of 26,485 participants have been enrolled into the study.
Conclusion
The Heartline Study will assess if an Apple Watch with the IRN and ECG application, along with application-facilitated digital health engagement modules, improves time to AF diagnosis and cardiovascular outcomes in a real-world environment.
Trial registration
ClinicalTrials.gov Identifier: NCT04276441.
Murawski, Alaine; Ramirez-Zohfeld, Vanessa; Schierer, Allison; Olvera, Charles; Mell, Johnathan; Gratch, Jonathan; Brett, Jeanne; Lindquist, Lee A.
Transforming a Negotiation Framework to Resolve Conflicts among Older Adults and Family Caregivers Journal Article
In: Geriatrics, vol. 8, no. 2, pp. 36, 2023, ISSN: 2308-3417, (Number: 2 Publisher: Multidisciplinary Digital Publishing Institute).
Abstract | Links | BibTeX | Tags:
@article{murawski_transforming_2023,
title = {Transforming a Negotiation Framework to Resolve Conflicts among Older Adults and Family Caregivers},
author = {Alaine Murawski and Vanessa Ramirez-Zohfeld and Allison Schierer and Charles Olvera and Johnathan Mell and Jonathan Gratch and Jeanne Brett and Lee A. Lindquist},
url = {https://www.mdpi.com/2308-3417/8/2/36},
doi = {10.3390/geriatrics8020036},
issn = {2308-3417},
year = {2023},
date = {2023-04-01},
urldate = {2023-03-31},
journal = {Geriatrics},
volume = {8},
number = {2},
pages = {36},
abstract = {Background: Family caregivers of older people with Alzheimer’s dementia (PWD) often need to advocate and resolve health-related conflicts (e.g., determining treatment necessity, billing errors, and home health extensions). As they deal with these health system conflicts, family caregivers experience unnecessary frustration, anxiety, and stress. The goal of this research was to apply a negotiation framework to resolve real-world family caregiver–older adult conflicts. Methods: We convened an interdisciplinary team of national community-based family caregivers, social workers, geriatricians, and negotiation experts (n = 9; Illinois, Florida, New York, and California) to examine the applicability of negotiation and conflict management frameworks to three older adult–caregiver conflicts (i.e., caregiver–older adult, caregiver–provider, and caregiver–caregiver). The panel of caregivers provided scenarios and dialogue describing conflicts they experienced in these three settings. A qualitative analysis was then performed grouping the responses into a framework matrix. Results: Upon presenting the three conflicts to the caregivers, 96 responses (caregiver–senior), 75 responses (caregiver–caregiver), and 80 responses (caregiver–provider) were generated. A thematic analysis showed that the statements and responses fit the interest–rights–power (IRP) negotiation framework. Discussion: The interests–rights–power (IRP) framework, used in business negotiations, provided insight into how caregivers experienced conflict with older adults, providers, and other caregivers. Future research is needed to examine applying the IRP framework in the training of caregivers of older people with Alzheimer’s dementia.},
note = {Number: 2
Publisher: Multidisciplinary Digital Publishing Institute},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Hsu, Wan-Yu; Anguera, Joaquin A.; Rizzo, Albert; Campusano, Richard; Chiaravalloti, Nancy D.; DeLuca, John; Gazzaley, Adam; Bove, Riley M.
A virtual reality program to assess cognitive function in multiple sclerosis: A pilot study Journal Article
In: Frontiers in Human Neuroscience, 2023, (Place: Lausanne, Switzerland Publisher: Frontiers Research Foundation Section: ORIGINAL RESEARCH article).
Abstract | Links | BibTeX | Tags:
@article{hsu_virtual_2023,
title = {A virtual reality program to assess cognitive function in multiple sclerosis: A pilot study},
author = {Wan-Yu Hsu and Joaquin A. Anguera and Albert Rizzo and Richard Campusano and Nancy D. Chiaravalloti and John DeLuca and Adam Gazzaley and Riley M. Bove},
url = {https://www.proquest.com/docview/2787027204/abstract/BEA88F7BB72B4623PQ/1},
doi = {10.3389/fnhum.2023.1139316},
year = {2023},
date = {2023-03-01},
urldate = {2023-03-31},
journal = {Frontiers in Human Neuroscience},
abstract = {Introduction: Cognitive impairment is a debilitating symptom in people with multiple sclerosis (MS). Most of the neuropsychological tasks have little resemblance to everyday life. There is a need for ecologically valid tools for assessing cognition in real-life functional contexts in MS. One potential solution would involve the use of virtual reality (VR) to exert finer control over the task presentation environment; however, VR studies in the MS population are scarce. Objectives: To explore the utility and feasibility of a VR program for cognitive assessment in MS. Methods: A VR classroom embedded with a continuous performance task (CPT) was assessed in 10 non-MS adults and 10 people with MS with low cognitive functioning. Participants performed the CPT with distractors (ie. WD) and without distractors (ie. ND). The Symbol Digit Modalities Test (SDMT), California Verbal Learning Test – II (CVLT-II), and a feedback survey on the VR program were administered. Results: People with MS exhibited greater reaction time variability (RTV) compared to non-MS participants, and greater RTV in both WD and ND conditions was associated with lower SDMT. Conclusions: VR tools warrant further research to determine their value as an ecologically valid platform for assessing cognition and everyday functioning in people with MS.},
note = {Place: Lausanne, Switzerland
Publisher: Frontiers Research Foundation
Section: ORIGINAL RESEARCH article},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pynadath, David V.; Dilkina, Bistra; Jeong, David C.; John, Richard S.; Marsella, Stacy C.; Merchant, Chirag; Miller, Lynn C.; Read, Stephen J.
Disaster world Journal Article
In: Comput Math Organ Theory, vol. 29, no. 1, pp. 84–117, 2023, ISSN: 1572-9346.
Abstract | Links | BibTeX | Tags: Social Simulation
@article{pynadath_disaster_2023,
title = {Disaster world},
author = {David V. Pynadath and Bistra Dilkina and David C. Jeong and Richard S. John and Stacy C. Marsella and Chirag Merchant and Lynn C. Miller and Stephen J. Read},
url = {https://doi.org/10.1007/s10588-022-09359-y},
doi = {10.1007/s10588-022-09359-y},
issn = {1572-9346},
year = {2023},
date = {2023-03-01},
urldate = {2023-03-31},
journal = {Comput Math Organ Theory},
volume = {29},
number = {1},
pages = {84--117},
abstract = {Artificial intelligence (AI) research provides a rich source of modeling languages capable of generating socially plausible simulations of human behavior, while also providing a transparent ground truth that can support validation of social-science methods applied to that simulation. In this work, we leverage two established AI representations: decision-theoretic planning and recursive modeling. Decision-theoretic planning (specifically Partially Observable Markov Decision Processes) provides agents with quantitative models of their corresponding real-world entities’ subjective (and possibly incorrect) perspectives of ground truth in the form of probabilistic beliefs and utility functions. Recursive modeling gives an agent a theory of mind, which is necessary when a person’s (again, possibly incorrect) subjective perspectives are of another person, rather than of just his/her environment. We used PsychSim, a multiagent social-simulation framework combining these two AI frameworks, to build a general parameterized model of human behavior during disaster response, grounding the model in social-psychological theories to ensure social plausibility. We then instantiated that model into alternate ground truths for simulating population response to a series of natural disasters, namely, hurricanes. The simulations generate data in response to socially plausible instruments (e.g., surveys) that serve as input to the Ground Truth program’s designated research teams for them to conduct simulated social science. The simulation also provides a graphical ground truth and a set of outcomes to be used as the gold standard in evaluating the research teams’ inferences.},
keywords = {Social Simulation},
pubstate = {published},
tppubtype = {article}
}
Gratch, Jonathan
The promise and peril of interactive embodied agents for studying non-verbal communication: a machine learning perspective Journal Article
In: Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 378, no. 1875, pp. 20210475, 2023, (Publisher: Royal Society).
Abstract | Links | BibTeX | Tags:
@article{gratch_promise_2023,
title = {The promise and peril of interactive embodied agents for studying non-verbal communication: a machine learning perspective},
author = {Jonathan Gratch},
url = {https://royalsocietypublishing.org/doi/abs/10.1098/rstb.2021.0475},
doi = {10.1098/rstb.2021.0475},
year = {2023},
date = {2023-03-01},
urldate = {2023-03-31},
journal = {Philosophical Transactions of the Royal Society B: Biological Sciences},
volume = {378},
number = {1875},
pages = {20210475},
abstract = {In face-to-face interactions, parties rapidly react and adapt to each other's words, movements and expressions. Any science of face-to-face interaction must develop approaches to hypothesize and rigorously test mechanisms that explain such interdependent behaviour. Yet conventional experimental designs often sacrifice interactivity to establish experimental control. Interactive virtual and robotic agents have been offered as a way to study true interactivity while enforcing a measure of experimental control by allowing participants to interact with realistic but carefully controlled partners. But as researchers increasingly turn to machine learning to add realism to such agents, they may unintentionally distort the very interactivity they seek to illuminate, particularly when investigating the role of non-verbal signals such as emotion or active-listening behaviours. Here I discuss some of the methodological challenges that may arise when machine learning is used to model the behaviour of interaction partners. By articulating and explicitly considering these commitments, researchers can transform ‘unintentional distortions’ into valuable methodological tools that yield new insights and better contextualize existing experimental findings that rely on learning technology.
This article is part of a discussion meeting issue ‘Face2face: advancing the science of social interaction’.},
note = {Publisher: Royal Society},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
This article is part of a discussion meeting issue ‘Face2face: advancing the science of social interaction’.
Awada, Mohamad; Becerik-Gerber, Burcin; Liu, Ruying; Seyedrezaei, Mirmahdi; Lu, Zheng; Xenakis, Matheos; Lucas, Gale; Roll, Shawn C.; Narayanan, Shrikanth
Ten questions concerning the impact of environmental stress on office workers Journal Article
In: Building and Environment, vol. 229, pp. 109964, 2023, ISSN: 0360-1323.
Abstract | Links | BibTeX | Tags:
@article{awada_ten_2023,
title = {Ten questions concerning the impact of environmental stress on office workers},
author = {Mohamad Awada and Burcin Becerik-Gerber and Ruying Liu and Mirmahdi Seyedrezaei and Zheng Lu and Matheos Xenakis and Gale Lucas and Shawn C. Roll and Shrikanth Narayanan},
url = {https://www.sciencedirect.com/science/article/pii/S0360132322011945},
doi = {10.1016/j.buildenv.2022.109964},
issn = {0360-1323},
year = {2023},
date = {2023-02-01},
urldate = {2023-03-31},
journal = {Building and Environment},
volume = {229},
pages = {109964},
abstract = {We regularly face stress during our everyday activities, to the extent that stress is recognized by the World Health Organization as the epidemic of the 21st century. Stress is how humans respond physically and psychologically to adjustments, experiences, conditions, and circumstances in their lives. While there are many reasons for stress, work and job pressure remain the main cause. Thus, companies are increasingly interested in creating healthier, more comfortable, and stress-free offices for their workers. The indoor environment can induce environmental stress when it cannot satisfy the individual needs for health and comfort. In fact, office environmental conditions (e.g., thermal, and indoor air conditions, lighting, and noise) and interior design parameters (e.g., office layout, colors, furniture, access to views, distance to window, personal control and biophilic design) have been found to affect office workers' stress levels. A line of research based on the stress recovery theory offers new insights for establishing offices that limit environmental stress and help with work stress recovery. To that end, this paper answers ten questions that explore the relation between the indoor office-built environment and stress levels among workers. The answers to the ten questions are based on an extensive literature review to draw conclusions from what has been achieved to date. Thus, this study presents a foundation for future environmental stress related research in offices.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Mozgai, Sharon; Beland, Sarah; Leeds, Andrew; Winn, Jade G.; Kaurloto, Cari; Heylen, Dirk; Hartholt, Arno
Toward a Scoping Review of Social Intelligence in Virtual Humans Inproceedings
In: 2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG), pp. 1–6, 2023.
Abstract | Links | BibTeX | Tags:
@inproceedings{mozgai_toward_2023,
title = {Toward a Scoping Review of Social Intelligence in Virtual Humans},
author = {Sharon Mozgai and Sarah Beland and Andrew Leeds and Jade G. Winn and Cari Kaurloto and Dirk Heylen and Arno Hartholt},
url = {https://ieeexplore.ieee.org/abstract/document/10042532},
doi = {10.1109/FG57933.2023.10042532},
year = {2023},
date = {2023-01-01},
booktitle = {2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)},
pages = {1--6},
abstract = {As the demand for socially intelligent Virtual Humans (VHs) increases, so follows the demand for effective and efficient cross-discipline collaboration that is required to bring these VHs “to life”. One avenue for increasing cross-discipline fluency is the aggregation and organization of seemingly disparate areas of research and development (e.g., graphics and emotion models) that are essential to the field of VH research. Our initial investigation (1) identifies and catalogues research streams concentrated in three multidisciplinary VH topic clusters within the domain of social intelligence, Emotion, Social Behavior, and The Face, (2) brings to the forefront key themes and prolific authors within each topic cluster, and (3) provides evidence that a full scoping review is warranted to further map the field, aggregate research findings, and identify gaps in the research. To enable collaboration, we provide full access to the refined VH cluster datasets, key word and author word clouds, as well as interactive evidence maps.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Hartholt, Arno; Mozgai, Sharon
Creating Virtual Worlds with the Virtual Human Toolkit and the Rapid Integration & Development Environment Inproceedings
In: Intelligent Human Systems Integration (IHSI 2023): Integrating People and Intelligent Systems, AHFE Open Acces, 2023, ISBN: 978-1-958651-45-2, (ISSN: 27710718 Issue: 69).
Abstract | Links | BibTeX | Tags:
@inproceedings{hartholt_creating_2023,
title = {Creating Virtual Worlds with the Virtual Human Toolkit and the Rapid Integration & Development Environment},
author = {Arno Hartholt and Sharon Mozgai},
url = {https://openaccess.cms-conferences.org/publications/book/978-1-958651-45-2/article/978-1-958651-45-2_41},
doi = {10.54941/ahfe1002856},
isbn = {978-1-958651-45-2},
year = {2023},
date = {2023-01-01},
urldate = {2023-03-31},
booktitle = {Intelligent Human Systems Integration (IHSI 2023): Integrating People and Intelligent Systems},
volume = {69},
publisher = {AHFE Open Acces},
abstract = {The research and development of virtual humans, and the virtual worlds they inhabit, is inherently complex, requiring interdisciplinary approaches that combine social sciences, computer science, design, art, production, and domain expertise. Our previous work in managing this complexity has resulted in the release of the Virtual Human Toolkit (VHToolkit), aimed at lowering the burden of creating embodied conversational agents. In our current efforts, we are integrating the VHToolkit with the Rapid Integration & Development Environment (RIDE), a rapid prototyping modeling and simulation middleware platform that leverages real-time game engines. This integration results in the ability to mix and match commercial AI services from AWS, Azure, and Google, as well as leverage novel 3D geospatial terrain creation pipelines. Combined with dedicated authoring tools that have been developed through human-centered design processes, the platform enables researchers, developers, and domain experts to rapidly create digital worlds with virtual humans for both military and civilian contexts. Our approach is highly interdisciplinary, including academia, government, and industry collaborators. The demonstration shows a user interacting with an embodied conversational agent embedded within real-world captured and virtualized terrain. Further research and development features of the platform are shown, including scripted agent behaviors, networked team play, and machine learning interfaces.},
note = {ISSN: 27710718
Issue: 69},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Vlake, Johan H.; Bommel, Jasper; Riva, Giuseppe; Wiederhold, Brenda K.; Cipresso, Pietro; Rizzo, Albert Skip; Botella, Cristina; Hooft, Lotty; Bienvenu, O. Joseph; Geerts, Bart; Wils, Evert-Jan; Gommers, Diederik; Genderen, Michel E.
Reporting the early stage clinical evaluation of virtual-reality-based intervention trials: RATE-VR Journal Article
In: Nat Med, vol. 29, no. 1, pp. 12–13, 2023, ISSN: 1546-170X, (Number: 1 Publisher: Nature Publishing Group).
@article{vlake_reporting_2023,
title = {Reporting the early stage clinical evaluation of virtual-reality-based intervention trials: RATE-VR},
author = {Johan H. Vlake and Jasper Bommel and Giuseppe Riva and Brenda K. Wiederhold and Pietro Cipresso and Albert Skip Rizzo and Cristina Botella and Lotty Hooft and O. Joseph Bienvenu and Bart Geerts and Evert-Jan Wils and Diederik Gommers and Michel E. Genderen},
url = {https://www.nature.com/articles/s41591-022-02085-7},
doi = {10.1038/s41591-022-02085-7},
issn = {1546-170X},
year = {2023},
date = {2023-01-01},
urldate = {2023-03-31},
journal = {Nat Med},
volume = {29},
number = {1},
pages = {12--13},
note = {Number: 1
Publisher: Nature Publishing Group},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Chawla, Kushal; Clever, Rene; Ramirez, Jaysa; Lucas, Gale M.; Gratch, Jonathan
Towards Emotion-Aware Agents for Improved User Satisfaction and Partner Perception in Negotiation Dialogues Journal Article
In: IEEE Transactions on Affective Computing, pp. 1–12, 2023, ISSN: 1949-3045, (Conference Name: IEEE Transactions on Affective Computing).
Abstract | Links | BibTeX | Tags:
@article{chawla_towards_2023,
title = {Towards Emotion-Aware Agents for Improved User Satisfaction and Partner Perception in Negotiation Dialogues},
author = {Kushal Chawla and Rene Clever and Jaysa Ramirez and Gale M. Lucas and Jonathan Gratch},
url = {https://ieeexplore.ieee.org/abstract/document/10021626},
doi = {10.1109/TAFFC.2023.3238007},
issn = {1949-3045},
year = {2023},
date = {2023-01-01},
journal = {IEEE Transactions on Affective Computing},
pages = {1--12},
abstract = {Negotiation is a complex social interaction that encapsulates emotional encounters in human decision-making. Virtual agents that can negotiate with humans by the means of language are useful in pedagogy and conversational AI. To advance the development of such agents, we explore the role of emotion in the prediction of two important subjective goals in a negotiation – outcome satisfaction and partner perception. We devise ways to measure and compare different degrees of emotion expression in negotiation dialogues, consisting of emoticon, lexical, and contextual variables. Through an extensive analysis of a large-scale dataset in chat-based negotiations, we find that incorporating emotion expression explains significantly more variance, above and beyond the demographics and personality traits of the participants. Further, our temporal analysis reveals that emotive information from both early and later stages of the negotiation contributes to this prediction, indicating the need for a continual learning model of capturing emotion for automated agents. Finally, we extend our analysis to another dataset, showing promise that our findings generalize to more complex scenarios. We conclude by discussing our insights, which will be helpful for designing adaptive negotiation agents that interact through realistic communication interfaces.},
note = {Conference Name: IEEE Transactions on Affective Computing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Lei, Su; Gratch, Jonathan
Emotional Expressivity is a Reliable Signal of Surprise Journal Article
In: IEEE Transactions on Affective Computing, pp. 1–12, 2023, ISSN: 1949-3045, (Conference Name: IEEE Transactions on Affective Computing).
Abstract | Links | BibTeX | Tags:
@article{lei_emotional_2023,
title = {Emotional Expressivity is a Reliable Signal of Surprise},
author = {Su Lei and Jonathan Gratch},
doi = {10.1109/TAFFC.2023.3234015},
issn = {1949-3045},
year = {2023},
date = {2023-01-01},
journal = {IEEE Transactions on Affective Computing},
pages = {1--12},
abstract = {We consider the problem of inferring what happened to a person in a social task from momentary facial reactions. To approach this, we introduce several innovations. First, rather than predicting what (observers think) someone feels, we predict objective features of the event that immediately preceded the facial reactions. Second, we draw on appraisal theory, a key psychological theory of emotion, to characterize features of this immediately-preceded event. Specifically, we explore if facial expressions reveal if the event is expected, goal-congruent, and norm-compatible. Finally, we argue that emotional expressivity serves as a better feature for characterizing momentary expressions than traditional facial features. Specifically, we use supervised machine learning to predict third-party judgments of emotional expressivity with high accuracy, and show this model improves inferences about the nature of the event that preceded an emotional reaction. Contrary to common sense, “genuine smiles” failed to predict if an event advanced a person's goals. Rather, expressions best revealed if an event violated expectations. We discussed the implications of these findings for the interpretation of facial displays and potential limitations that could impact the generality of these findings.},
note = {Conference Name: IEEE Transactions on Affective Computing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Lucas, Gale M.; Mell, Johnathan; Boberg, Jill; Zenone, Forrest; Visser, Ewart J.; Tossell, Chad; Seech, Todd
Customizing virtual interpersonal skills training applications may not improve trainee performance Journal Article
In: Sci Rep, vol. 13, no. 1, pp. 78, 2023, ISSN: 2045-2322, (Number: 1 Publisher: Nature Publishing Group).
Abstract | Links | BibTeX | Tags:
@article{lucas_customizing_2023,
title = {Customizing virtual interpersonal skills training applications may not improve trainee performance},
author = {Gale M. Lucas and Johnathan Mell and Jill Boberg and Forrest Zenone and Ewart J. Visser and Chad Tossell and Todd Seech},
url = {https://www.nature.com/articles/s41598-022-27154-2},
doi = {10.1038/s41598-022-27154-2},
issn = {2045-2322},
year = {2023},
date = {2023-01-01},
urldate = {2023-03-31},
journal = {Sci Rep},
volume = {13},
number = {1},
pages = {78},
abstract = {While some theoretical perspectives imply that the context of a virtual training should be customized to match the intended context where those skills would ultimately be applied, others suggest this might not be necessary for learning. It is important to determine whether manipulating context matters for performance in training applications because customized virtual training systems made for specific use cases are more costly than generic “off-the-shelf” ones designed for a broader set of users. Accordingly, we report a study where military cadets use a virtual platform to practice their negotiation skills, and are randomly assigned to one of two virtual context conditions: military versus civilian. Out of 28 measures capturing performance in the negotiation, there was only one significant result: cadets in the civilian condition politely ask the agent to make an offer significantly more than those in the military condition. These results imply that—for this interpersonal skills application, and perhaps ones like it—virtual context may matter very little for performance during social skills training, and that commercial systems may yield real benefits to military scenarios with little-to-no modification.},
note = {Number: 1
Publisher: Nature Publishing Group},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Adami, Pooya; Singh, Rashmi; Rodrigues, Patrick Borges; Becerik-Gerber, Burcin; Soibelman, Lucio; Copur-Gencturk, Yasemin; Lucas, Gale
In: Advanced Engineering Informatics, vol. 55, pp. 101837, 2023, ISSN: 1474-0346.
Abstract | Links | BibTeX | Tags:
@article{adami_participants_2023,
title = {Participants matter: Effectiveness of VR-based training on the knowledge, trust in the robot, and self-efficacy of construction workers and university students},
author = {Pooya Adami and Rashmi Singh and Patrick Borges Rodrigues and Burcin Becerik-Gerber and Lucio Soibelman and Yasemin Copur-Gencturk and Gale Lucas},
url = {https://www.sciencedirect.com/science/article/pii/S1474034622002956},
doi = {10.1016/j.aei.2022.101837},
issn = {1474-0346},
year = {2023},
date = {2023-01-01},
urldate = {2023-03-31},
journal = {Advanced Engineering Informatics},
volume = {55},
pages = {101837},
abstract = {Virtual Reality (VR)-based training has gained attention from the scientific community in the Architecture, Engineering, and Construction (AEC) industry as a cost-effective and safe method that eliminates the safety risks that may impose on workers during the training compared to traditional training methods (e.g., in-person hands-on training, apprenticeship). Although researchers have developed VR-based training for construction workers, some have recruited students rather than workers to understand the effect of their VR-based training. However, students are different from construction workers in many ways, which can threaten the validity of such studies. Hence, research is needed to investigate the extent to which the findings of a VR-based training study are contingent on whether students or construction workers were used as the study sample. This paper strives to compare the effectiveness of VR-based training on university students’ and construction workers’ knowledge acquisition, trust in the robot, and robot operation self-efficacy in remote operation of a construction robot. Twenty-five construction workers and twenty-five graduate construction engineering students were recruited to complete a VR-based training for remote operating a demolition robot. We used quantitative analyses to answer our research questions. Our study shows that the results are dependent on the target sample in that students gained more knowledge, whereas construction workers gained more trust in the robot and more self-efficacy in robot operation. These findings suggest that the effectiveness of VR-based training on students may not necessarily associate with its effectiveness on construction workers.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2022
Maihofer, Adam X.; Engchuan, Worrawat; Huguet, Guillaume; Klein, Marieke; MacDonald, Jeffrey R.; Shanta, Omar; Thiruvahindrapuram, Bhooma; Jean-louis, Martineau; Saci, Zohra; Jacquemont, Sebastien; Scherer, Stephen W.; Ketema, Elizabeth; Aiello, Allison E.; Amstadter, Ananda B.; Avdibegović, Esmina; Babic, Dragan; Baker, Dewleen G.; Bisson, Jonathan I.; Boks, Marco P.; Bolger, Elizabeth A.; Bryant, Richard A.; Bustamante, Angela C.; Caldas-de-Almeida, Jose Miguel; Cardoso, Graça; Deckert, Jurgen; Delahanty, Douglas L.; Domschke, Katharina; Dunlop, Boadie W.; Dzubur-Kulenovic, Alma; Evans, Alexandra; Feeny, Norah C.; Franz, Carol E.; Gautam, Aarti; Geuze, Elbert; Goci, Aferdita; Hammamieh, Rasha; Jakovljevic, Miro; Jett, Marti; Jones, Ian; Kaufman, Milissa L.; Kessler, Ronald C.; King, Anthony P.; Kremen, William S.; Lawford, Bruce R.; Lebois, Lauren A. M.; Lewis, Catrin; Liberzon, Israel; Linnstaedt, Sarah D.; Lugonja, Bozo; Luykx, Jurjen J.; Lyons, Michael J.; Mavissakalian, Matig R.; McLaughlin, Katie A.; McLean, Samuel A.; Mehta, Divya; Mellor, Rebecca; Morris, Charles Phillip; Muhie, Seid; Orcutt, Holly K.; Peverill, Matthew; Ratanatharathorn, Andrew; Risbrough, Victoria B.; Rizzo, Albert; Roberts, Andrea L.; Rothbaum, Alex O.; Rothbaum, Barbara O.; Roy-Byrne, Peter; Ruggiero, Kenneth J.; Rutten, Bart P. F.; Schijven, Dick; Seng, Julia S.; Sheerin, Christina M.; Sorenson, Michael A.; Teicher, Martin H.; Uddin, Monica; Ursano, Robert J.; Vinkers, Christiaan H.; Voisey, Joanne; Weber, Heike; Winternitz, Sherry; Xavier, Miguel; Yang, Ruoting; Young, Ross McD; Zoellner, Lori A.; Salem, Rany M.; Shaffer, Richard A.; Wu, Tianying; Ressler, Kerry J.; Stein, Murray B.; Koenen, Karestan C.; Sebat, Jonathan; Nievergelt, Caroline M.
Rare copy number variation in posttraumatic stress disorder Journal Article
In: Mol Psychiatry, vol. 27, no. 12, pp. 5062–5069, 2022, ISSN: 1476-5578, (Number: 12 Publisher: Nature Publishing Group).
Abstract | Links | BibTeX | Tags:
@article{maihofer_rare_2022,
title = {Rare copy number variation in posttraumatic stress disorder},
author = {Adam X. Maihofer and Worrawat Engchuan and Guillaume Huguet and Marieke Klein and Jeffrey R. MacDonald and Omar Shanta and Bhooma Thiruvahindrapuram and Martineau Jean-louis and Zohra Saci and Sebastien Jacquemont and Stephen W. Scherer and Elizabeth Ketema and Allison E. Aiello and Ananda B. Amstadter and Esmina Avdibegović and Dragan Babic and Dewleen G. Baker and Jonathan I. Bisson and Marco P. Boks and Elizabeth A. Bolger and Richard A. Bryant and Angela C. Bustamante and Jose Miguel Caldas-de-Almeida and Graça Cardoso and Jurgen Deckert and Douglas L. Delahanty and Katharina Domschke and Boadie W. Dunlop and Alma Dzubur-Kulenovic and Alexandra Evans and Norah C. Feeny and Carol E. Franz and Aarti Gautam and Elbert Geuze and Aferdita Goci and Rasha Hammamieh and Miro Jakovljevic and Marti Jett and Ian Jones and Milissa L. Kaufman and Ronald C. Kessler and Anthony P. King and William S. Kremen and Bruce R. Lawford and Lauren A. M. Lebois and Catrin Lewis and Israel Liberzon and Sarah D. Linnstaedt and Bozo Lugonja and Jurjen J. Luykx and Michael J. Lyons and Matig R. Mavissakalian and Katie A. McLaughlin and Samuel A. McLean and Divya Mehta and Rebecca Mellor and Charles Phillip Morris and Seid Muhie and Holly K. Orcutt and Matthew Peverill and Andrew Ratanatharathorn and Victoria B. Risbrough and Albert Rizzo and Andrea L. Roberts and Alex O. Rothbaum and Barbara O. Rothbaum and Peter Roy-Byrne and Kenneth J. Ruggiero and Bart P. F. Rutten and Dick Schijven and Julia S. Seng and Christina M. Sheerin and Michael A. Sorenson and Martin H. Teicher and Monica Uddin and Robert J. Ursano and Christiaan H. Vinkers and Joanne Voisey and Heike Weber and Sherry Winternitz and Miguel Xavier and Ruoting Yang and Ross McD Young and Lori A. Zoellner and Rany M. Salem and Richard A. Shaffer and Tianying Wu and Kerry J. Ressler and Murray B. Stein and Karestan C. Koenen and Jonathan Sebat and Caroline M. Nievergelt},
url = {https://www.nature.com/articles/s41380-022-01776-4},
doi = {10.1038/s41380-022-01776-4},
issn = {1476-5578},
year = {2022},
date = {2022-12-01},
urldate = {2023-03-31},
journal = {Mol Psychiatry},
volume = {27},
number = {12},
pages = {5062--5069},
abstract = {Posttraumatic stress disorder (PTSD) is a heritable (h2 = 24–71%) psychiatric illness. Copy number variation (CNV) is a form of rare genetic variation that has been implicated in the etiology of psychiatric disorders, but no large-scale investigation of CNV in PTSD has been performed. We present an association study of CNV burden and PTSD symptoms in a sample of 114,383 participants (13,036 cases and 101,347 controls) of European ancestry. CNVs were called using two calling algorithms and intersected to a consensus set. Quality control was performed to remove strong outlier samples. CNVs were examined for association with PTSD within each cohort using linear or logistic regression analysis adjusted for population structure and CNV quality metrics, then inverse variance weighted meta-analyzed across cohorts. We examined the genome-wide total span of CNVs, enrichment of CNVs within specified gene-sets, and CNVs overlapping individual genes and implicated neurodevelopmental regions. The total distance covered by deletions crossing over known neurodevelopmental CNV regions was significant (beta = 0.029},
note = {Number: 12
Publisher: Nature Publishing Group},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Becerik-Gerber, Burcin; Lucas, Gale; Aryal, Ashrant; Awada, Mohamad; Bergés, Mario; Billington, Sarah; Boric-Lubecke, Olga; Ghahramani, Ali; Heydarian, Arsalan; Höelscher, Christoph; Jazizadeh, Farrokh; Khan, Azam; Langevin, Jared; Liu, Ruying; Marks, Frederick; Mauriello, Matthew Louis; Murnane, Elizabeth; Noh, Haeyoung; Pritoni, Marco; Roll, Shawn; Schaumann, Davide; Seyedrezaei, Mirmahdi; Taylor, John E.; Zhao, Jie; Zhu, Runhe
The field of human building interaction for convergent research and innovation for intelligent built environments Journal Article
In: Sci Rep, vol. 12, no. 1, pp. 22092, 2022, ISSN: 2045-2322, (Number: 1 Publisher: Nature Publishing Group).
Abstract | Links | BibTeX | Tags:
@article{becerik-gerber_field_2022,
title = {The field of human building interaction for convergent research and innovation for intelligent built environments},
author = {Burcin Becerik-Gerber and Gale Lucas and Ashrant Aryal and Mohamad Awada and Mario Bergés and Sarah Billington and Olga Boric-Lubecke and Ali Ghahramani and Arsalan Heydarian and Christoph Höelscher and Farrokh Jazizadeh and Azam Khan and Jared Langevin and Ruying Liu and Frederick Marks and Matthew Louis Mauriello and Elizabeth Murnane and Haeyoung Noh and Marco Pritoni and Shawn Roll and Davide Schaumann and Mirmahdi Seyedrezaei and John E. Taylor and Jie Zhao and Runhe Zhu},
url = {https://www.nature.com/articles/s41598-022-25047-y},
doi = {10.1038/s41598-022-25047-y},
issn = {2045-2322},
year = {2022},
date = {2022-12-01},
urldate = {2023-03-31},
journal = {Sci Rep},
volume = {12},
number = {1},
pages = {22092},
abstract = {Human-Building Interaction (HBI) is a convergent field that represents the growing complexities of the dynamic interplay between human experience and intelligence within built environments. This paper provides core definitions, research dimensions, and an overall vision for the future of HBI as developed through consensus among 25 interdisciplinary experts in a series of facilitated workshops. Three primary areas contribute to and require attention in HBI research: humans (human experiences, performance, and well-being), buildings (building design and operations), and technologies (sensing, inference, and awareness). Three critical interdisciplinary research domains intersect these areas: control systems and decision making, trust and collaboration, and modeling and simulation. Finally, at the core, it is vital for HBI research to center on and support equity, privacy, and sustainability. Compelling research questions are posed for each primary area, research domain, and core principle. State-of-the-art methods used in HBI studies are discussed, and examples of original research are offered to illustrate opportunities for the advancement of HBI research.},
note = {Number: 1
Publisher: Nature Publishing Group},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Becerik-Gerber, Burçin; Lucas, Gale; Aryal, Ashrant; Awada, Mohamad; Bergés, Mario; Billington, Sarah L; Boric-Lubecke, Olga; Ghahramani, Ali; Heydarian, Arsalan; Jazizadeh, Farrokh; Liu, Ruying; Zhu, Runhe; Marks, Frederick; Roll, Shawn; Seyedrezaei, Mirmahdi; Taylor, John E.; Höelscher, Christoph; Khan, Azam; Langevin, Jared; Mauriello, Matthew Louis; Murnane, Elizabeth; Noh, Haeyoung; Pritoni, Marco; Schaumann, Davide; Zhao, Jie
Ten questions concerning human-building interaction research for improving the quality of life Journal Article
In: Building and Environment, vol. 226, pp. 109681, 2022, ISSN: 0360-1323.
Abstract | Links | BibTeX | Tags:
@article{becerik-gerber_ten_2022,
title = {Ten questions concerning human-building interaction research for improving the quality of life},
author = {Burçin Becerik-Gerber and Gale Lucas and Ashrant Aryal and Mohamad Awada and Mario Bergés and Sarah L Billington and Olga Boric-Lubecke and Ali Ghahramani and Arsalan Heydarian and Farrokh Jazizadeh and Ruying Liu and Runhe Zhu and Frederick Marks and Shawn Roll and Mirmahdi Seyedrezaei and John E. Taylor and Christoph Höelscher and Azam Khan and Jared Langevin and Matthew Louis Mauriello and Elizabeth Murnane and Haeyoung Noh and Marco Pritoni and Davide Schaumann and Jie Zhao},
url = {https://www.sciencedirect.com/science/article/pii/S0360132322009118},
doi = {10.1016/j.buildenv.2022.109681},
issn = {0360-1323},
year = {2022},
date = {2022-12-01},
urldate = {2023-03-31},
journal = {Building and Environment},
volume = {226},
pages = {109681},
abstract = {This paper seeks to address ten questions that explore the burgeoning field of Human-Building Interaction (HBI), an interdisciplinary field that represents the next frontier in convergent research and innovation to enable the dynamic interplay of human and building interactional intelligence. The field of HBI builds on several existing efforts in historically separate research fields/communities and aims to understand how buildings affect human outcomes and experiences, as well as how humans interact with, adapt to, and affect the built environment and its systems, to support buildings that can learn, enable adaptation, and evolve at different scales to improve the quality-of-life of its users while optimizing resource usage and service availability. Questions were developed by a diverse group of researchers with backgrounds in design, engineering, computer science, social science, and health science. Answers to these questions draw conclusions from what has been achieved to date as reported in the available literature and establish a foundation for future HBI research. This paper aims to encourage interdisciplinary collaborations in HBI research to change the way people interact with and perceive technology within the context of buildings and inform the design, construction, and operation of next-generation, intelligent built environments. In doing so, HBI research can realize a myriad of benefits for human users, including improved productivity, health, cognition, convenience, and comfort, all of which are essential to societal well-being.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Zhu, Runhe; Lucas, Gale M.; Becerik-Gerber, Burcin; Southers, Erroll G.; Landicho, Earl
The impact of security countermeasures on human behavior during active shooter incidents Journal Article
In: Sci Rep, vol. 12, no. 1, pp. 929, 2022, ISSN: 2045-2322.
Abstract | Links | BibTeX | Tags: DTIC, UARC
@article{zhu_impact_2022,
title = {The impact of security countermeasures on human behavior during active shooter incidents},
author = {Runhe Zhu and Gale M. Lucas and Burcin Becerik-Gerber and Erroll G. Southers and Earl Landicho},
url = {https://www.nature.com/articles/s41598-022-04922-8},
doi = {10.1038/s41598-022-04922-8},
issn = {2045-2322},
year = {2022},
date = {2022-12-01},
urldate = {2022-09-26},
journal = {Sci Rep},
volume = {12},
number = {1},
pages = {929},
abstract = {Abstract Active shooter incidents represent an increasing threat to American society, especially in commercial and educational buildings. In recent years, a wide variety of security countermeasures have been recommended by public and governmental agencies. Many of these countermeasures are aimed to increase building security, yet their impact on human behavior when an active shooter incident occurs remains underexplored. To fill this research gap, we conducted virtual experiments to evaluate the impact of countermeasures on human behavior during active shooter incidents. A total of 162 office workers and middle/high school teachers were recruited to respond to an active shooter incident in virtual office and school buildings with or without the implementation of multiple countermeasures. The experiment results showed countermeasures significantly influenced participants’ response time and decisions (e.g., run, hide, fight). Participants’ responses and perceptions of the active shooter incident were also contingent on their daily roles, as well as building and social contexts. Teachers had more concerns for occupants’ safety than office workers. Moreover, teachers had more positive perceptions of occupants in the school, whereas office workers had more positive perceptions of occupants in the office.},
keywords = {DTIC, UARC},
pubstate = {published},
tppubtype = {article}
}
Difede, JoAnn; Rothbaum, Barbara O.; Rizzo, Albert A.; Wyka, Katarzyna; Spielman, Lisa; Reist, Christopher; Roy, Michael J.; Jovanovic, Tanja; Norrholm, Seth D.; Cukor, Judith; Olden, Megan; Glatt, Charles E.; Lee, Francis S.
In: Transl Psychiatry, vol. 12, no. 1, pp. 299, 2022, ISSN: 2158-3188.
Abstract | Links | BibTeX | Tags: DTIC, MedVR, Virtual Humans
@article{difede_enhancing_2022,
title = {Enhancing exposure therapy for posttraumatic stress disorder (PTSD): a randomized clinical trial of virtual reality and imaginal exposure with a cognitive enhancer},
author = {JoAnn Difede and Barbara O. Rothbaum and Albert A. Rizzo and Katarzyna Wyka and Lisa Spielman and Christopher Reist and Michael J. Roy and Tanja Jovanovic and Seth D. Norrholm and Judith Cukor and Megan Olden and Charles E. Glatt and Francis S. Lee},
url = {https://www.nature.com/articles/s41398-022-02066-x},
doi = {10.1038/s41398-022-02066-x},
issn = {2158-3188},
year = {2022},
date = {2022-12-01},
urldate = {2022-09-13},
journal = {Transl Psychiatry},
volume = {12},
number = {1},
pages = {299},
abstract = {Abstract Posttraumatic stress disorder (PTSD) is a significant public health issue. Yet, there are limited treatment options and no data to suggest which treatment will work for whom. We tested the efficacy of virtual reality exposure (VRE) or prolonged imaginal exposure (PE), augmented with D-cycloserine (DCS) for combat-related PTSD. As an exploratory aim, we examined whether brain-derived neurotrophic factor (BDNF) and fatty acid amide hydrolase (FAAH) moderated treatment response. Military personnel with PTSD ( n = 192) were recruited into a multisite double-blind randomized controlled trial to receive nine weeks of VRE or PE, with DCS or placebo. Primary outcome was the improvement in symptom severity. Randomization was stratified by comorbid depression (MDD) and site. Participants in both VRE and PE showed similar meaningful clinical improvement with no difference between the treatment groups. A significant interaction ( p = 0.45) suggested VRE was more effective for depressed participants (CAPS difference M = 3.51 [95% CI 1.17–5.86]},
keywords = {DTIC, MedVR, Virtual Humans},
pubstate = {published},
tppubtype = {article}
}
Hartholt, Arno; Mozgai, Sharon
Platforms and Tools for SIA Research and Development Incollection
In: The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application, vol. 48, pp. 261–304, Association for Computing Machinery, New York, NY, USA, 2022, ISBN: 978-1-4503-9896-1.
@incollection{hartholt_platforms_2022,
title = {Platforms and Tools for SIA Research and Development},
author = {Arno Hartholt and Sharon Mozgai},
url = {https://doi.org/10.1145/3563659.3563668},
isbn = {978-1-4503-9896-1},
year = {2022},
date = {2022-11-01},
urldate = {2023-03-31},
booktitle = {The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application},
volume = {48},
pages = {261--304},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
edition = {1},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Traum, David
Socially Interactive Agent Dialogue Incollection
In: The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application, vol. 48, pp. 45–76, Association for Computing Machinery, New York, NY, USA, 2022, ISBN: 978-1-4503-9896-1.
@incollection{traum_socially_2022,
title = {Socially Interactive Agent Dialogue},
author = {David Traum},
url = {https://doi.org/10.1145/3563659.3563663},
isbn = {978-1-4503-9896-1},
year = {2022},
date = {2022-11-01},
urldate = {2023-03-31},
booktitle = {The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application},
volume = {48},
pages = {45--76},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
edition = {1},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Lugrin, Birgit; Pelachaud, Catherine; André, Elisabeth; Aylett, Ruth; Bickmore, Timothy; Breazeal, Cynthia; Broekens, Joost; Dautenhahn, Kerstin; Gratch, Jonathan; Kopp, Stefan; Nadel, Jacqueline; Paiva, Ana; Wykowska, Agnieszka
In: The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application, vol. 48, pp. 561–626, Association for Computing Machinery, New York, NY, USA, 2022, ISBN: 978-1-4503-9896-1.
@incollection{lugrin_challenge_2022,
title = {Challenge Discussion on Socially Interactive Agents: Considerations on Social Interaction, Computational Architectures, Evaluation, and Ethics},
author = {Birgit Lugrin and Catherine Pelachaud and Elisabeth André and Ruth Aylett and Timothy Bickmore and Cynthia Breazeal and Joost Broekens and Kerstin Dautenhahn and Jonathan Gratch and Stefan Kopp and Jacqueline Nadel and Ana Paiva and Agnieszka Wykowska},
url = {https://doi.org/10.1145/3563659.3563677},
isbn = {978-1-4503-9896-1},
year = {2022},
date = {2022-11-01},
urldate = {2023-03-31},
booktitle = {The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application},
volume = {48},
pages = {561--626},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
edition = {1},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Liu, Shichen; Cai, Yunxuan; Chen, Haiwei; Zhou, Yichao; Zhao, Yajie
Rapid Face Asset Acquisition with Recurrent Feature Alignment Journal Article
In: ACM Trans. Graph., vol. 41, no. 6, pp. 214:1–214:17, 2022, ISSN: 0730-0301.
Abstract | Links | BibTeX | Tags: VGL
@article{liu_rapid_2022,
title = {Rapid Face Asset Acquisition with Recurrent Feature Alignment},
author = {Shichen Liu and Yunxuan Cai and Haiwei Chen and Yichao Zhou and Yajie Zhao},
url = {https://dl.acm.org/doi/10.1145/3550454.3555509},
doi = {10.1145/3550454.3555509},
issn = {0730-0301},
year = {2022},
date = {2022-11-01},
urldate = {2023-03-31},
journal = {ACM Trans. Graph.},
volume = {41},
number = {6},
pages = {214:1--214:17},
abstract = {We present Recurrent Feature Alignment (ReFA), an end-to-end neural network for the very rapid creation of production-grade face assets from multi-view images. ReFA is on par with the industrial pipelines in quality for producing accurate, complete, registered, and textured assets directly applicable to physically-based rendering, but produces the asset end-to-end, fully automatically at a significantly faster speed at 4.5 FPS, which is unprecedented among neural-based techniques. Our method represents face geometry as a position map in the UV space. The network first extracts per-pixel features in both the multi-view image space and the UV space. A recurrent module then iteratively optimizes the geometry by projecting the image-space features to the UV space and comparing them with a reference UV-space feature. The optimized geometry then provides pixel-aligned signals for the inference of high-resolution textures. Experiments have validated that ReFA achieves a median error of 0.603mm in geometry reconstruction, is robust to extreme pose and expression, and excels in sparse-view settings. We believe that the progress achieved by our network enables lightweight, fast face assets acquisition that significantly boosts the downstream applications, such as avatar creation and facial performance capture. It will also enable massive database capturing for deep learning purposes.},
keywords = {VGL},
pubstate = {published},
tppubtype = {article}
}
Pauw, Lisanne S.; Sauter, Disa A.; Kleef, Gerben A.; Lucas, Gale M.; Gratch, Jonathan; Fischer, Agneta H.
The avatar will see you now: Support from a virtual human provides socio-emotional benefits Journal Article
In: Computers in Human Behavior, vol. 136, pp. 107368, 2022, ISSN: 07475632.
Links | BibTeX | Tags: DTIC, Virtual Humans
@article{pauw_avatar_2022,
title = {The avatar will see you now: Support from a virtual human provides socio-emotional benefits},
author = {Lisanne S. Pauw and Disa A. Sauter and Gerben A. Kleef and Gale M. Lucas and Jonathan Gratch and Agneta H. Fischer},
url = {https://linkinghub.elsevier.com/retrieve/pii/S074756322200190X},
doi = {10.1016/j.chb.2022.107368},
issn = {07475632},
year = {2022},
date = {2022-11-01},
urldate = {2022-09-28},
journal = {Computers in Human Behavior},
volume = {136},
pages = {107368},
keywords = {DTIC, Virtual Humans},
pubstate = {published},
tppubtype = {article}
}
Zhang, Larry; Kolacz, Jacek; Rizzo, Albert; Scherer, Stefan; Soleymani, Mohammad
Speech Behavioral Markers Align on Symptom Factors in Psychological Distress Inproceedings
In: 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII), pp. 1–8, 2022, (ISSN: 2156-8111).
Abstract | Links | BibTeX | Tags:
@inproceedings{zhang_speech_2022,
title = {Speech Behavioral Markers Align on Symptom Factors in Psychological Distress},
author = {Larry Zhang and Jacek Kolacz and Albert Rizzo and Stefan Scherer and Mohammad Soleymani},
url = {https://ieeexplore.ieee.org/abstract/document/9953849},
doi = {10.1109/ACII55700.2022.9953849},
year = {2022},
date = {2022-10-01},
booktitle = {2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)},
pages = {1--8},
abstract = {Automatic detection of psychological disorders has gained significant attention in recent years due to the rise in their prevalence. However, the majority of studies have overlooked the complexity of disorders in favor of a “present/not present” dichotomy in representing disorders. Recent psychological research challenges favors transdiagnostic approaches, moving beyond general disorder classifications to symptom level analysis, as symptoms are often not exclusive to individual disorder classes. In our study, we investigated the link between speech signals and psychological distress symptoms in a corpus of 333 screening interviews from the Distress Analysis Interview Corpus (DAIC). Given the semi-structured organization of interviews, we aggregated speech utterances from responses to shared questions across interviews. We employed deterministic sample selection in classification to rank salient questions for eliciting symptom-specific behaviors in order to predict symptom presence. Some questions include “Do you find therapy helpful?” and “When was the last time you felt happy?”. The prediction results align closely to the factor structure of psychological distress symptoms, linking speech behaviors primarily to somatic and affective alterations in both depression and PTSD. This lends support for the transdiagnostic validity of speech markers for detecting such symptoms. Surprisingly, we did not find a strong link between speech markers and cognitive or psychomotor alterations. This is surprising, given the complexity of motor and cognitive actions required in speech production. The results of our analysis highlight the importance of aligning affective computing research with psychological research to investigate the use of automatic behavioral sensing to assess psychiatric risk.},
note = {ISSN: 2156-8111},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Gratch, Jonathan; Fast, Nathanael J.
The power to harm: AI assistants pave the way to unethical behavior Journal Article
In: Current Opinion in Psychology, vol. 47, pp. 101382, 2022, ISSN: 2352250X.
Links | BibTeX | Tags: AI, DTIC, Virtual Humans
@article{gratch_power_2022,
title = {The power to harm: AI assistants pave the way to unethical behavior},
author = {Jonathan Gratch and Nathanael J. Fast},
url = {https://linkinghub.elsevier.com/retrieve/pii/S2352250X22001014},
doi = {10.1016/j.copsyc.2022.101382},
issn = {2352250X},
year = {2022},
date = {2022-10-01},
urldate = {2022-09-28},
journal = {Current Opinion in Psychology},
volume = {47},
pages = {101382},
keywords = {AI, DTIC, Virtual Humans},
pubstate = {published},
tppubtype = {article}
}
Brixey, Jacqueline; Traum, David
Towards an Automatic Speech Recognizer for the Choctaw language Inproceedings
In: 1st Workshop on Speech for Social Good (S4SG), pp. 6–9, ISCA, 2022.
@inproceedings{brixey_towards_2022,
title = {Towards an Automatic Speech Recognizer for the Choctaw language},
author = {Jacqueline Brixey and David Traum},
url = {https://www.isca-speech.org/archive/s4sg_2022/brixey22_s4sg.html},
doi = {10.21437/S4SG.2022-2},
year = {2022},
date = {2022-09-01},
urldate = {2023-03-31},
booktitle = {1st Workshop on Speech for Social Good (S4SG)},
pages = {6--9},
publisher = {ISCA},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Hale, James; Kim, Peter; Gratch, Jonathan
Preference interdependencies in a multi-issue salary negotiation Inproceedings
In: Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents, pp. 1–8, Association for Computing Machinery, New York, NY, USA, 2022, ISBN: 978-1-4503-9248-8.
Abstract | Links | BibTeX | Tags: DTIC, UARC, Virtual Humans
@inproceedings{hale_preference_2022,
title = {Preference interdependencies in a multi-issue salary negotiation},
author = {James Hale and Peter Kim and Jonathan Gratch},
url = {https://doi.org/10.1145/3514197.3549681},
doi = {10.1145/3514197.3549681},
isbn = {978-1-4503-9248-8},
year = {2022},
date = {2022-09-01},
urldate = {2022-09-27},
booktitle = {Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents},
pages = {1--8},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
series = {IVA '22},
abstract = {Negotiation is an important potential application domain for intelligent virtual agents but, unlike research on agent-agent negotiations, agents that negotiate with people often adopt unrealistic simplifying assumptions. These assumptions not only limit the generality of these agents, but call into question scientific findings about how people negotiate with agents. Here we relax two common assumptions: the use of assigned rather than elicited user preferences, and the use of linear utility functions. Using a simulated salary negotiation, we find that relaxing these assumptions helps reveal interesting individual differences in how people negotiate their salary and allows algorithms to find better win-win solutions.},
keywords = {DTIC, UARC, Virtual Humans},
pubstate = {published},
tppubtype = {inproceedings}
}
Hale, James; Jalan, Harsh; Saini, Nidhi; Tan, Shao Ling; Woo, Junhyuck; Gratch, Jonathan
Negotiation game to introduce non-linear utility Inproceedings
In: Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents, pp. 1–3, Association for Computing Machinery, New York, NY, USA, 2022, ISBN: 978-1-4503-9248-8.
Abstract | Links | BibTeX | Tags: DTIC, UARC, Virtual Humans
@inproceedings{hale_negotiation_2022,
title = {Negotiation game to introduce non-linear utility},
author = {James Hale and Harsh Jalan and Nidhi Saini and Shao Ling Tan and Junhyuck Woo and Jonathan Gratch},
url = {https://doi.org/10.1145/3514197.3549678},
doi = {10.1145/3514197.3549678},
isbn = {978-1-4503-9248-8},
year = {2022},
date = {2022-09-01},
urldate = {2022-09-27},
booktitle = {Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents},
pages = {1--3},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
series = {IVA '22},
abstract = {Much prior work in automated negotiation makes the simplifying assumption of linear utility functions. As such, we propose a framework for multilateral repeated negotiations in a complex game setting—to introduce non-linearities—where negotiators can choose with whom they negotiate in subsequent games. This game setting not only creates non-linear utility functions, but also motivates the negotiation.},
keywords = {DTIC, UARC, Virtual Humans},
pubstate = {published},
tppubtype = {inproceedings}
}
Lee, Eugene; McNulty, Zachary; Gentle, Alex; Pradhan, Prerak Tusharkumar; Gratch, Jonathan
Examining the impact of emotion and agency on negotiator behavior Inproceedings
In: Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents, pp. 1–3, Association for Computing Machinery, New York, NY, USA, 2022, ISBN: 978-1-4503-9248-8.
Abstract | Links | BibTeX | Tags: DTIC, Emotions, UARC, Virtual Humans
@inproceedings{lee_examining_2022,
title = {Examining the impact of emotion and agency on negotiator behavior},
author = {Eugene Lee and Zachary McNulty and Alex Gentle and Prerak Tusharkumar Pradhan and Jonathan Gratch},
url = {https://doi.org/10.1145/3514197.3549673},
doi = {10.1145/3514197.3549673},
isbn = {978-1-4503-9248-8},
year = {2022},
date = {2022-09-01},
urldate = {2022-09-27},
booktitle = {Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents},
pages = {1--3},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
series = {IVA '22},
abstract = {Virtual human expressions can shape user behavior [1, 2, 3], yet in negotiation, findings have been underwhelming. For example, human negotiators can use anger to claim value (i.e., extract concessions) [4], but anger has no effect when exhibited by a virtual human [5]. Other psychological work suggests that emotions can create value (e.g., happy negotiators can better discover tradeoffs across issues that "grow the pie"), but little research has examined how virtual human expressions shape value creation. Here we present an agent architecture and pilot study that examines differences between how the emotional expressions of human and virtual-human opponents shape value claiming and value creation. We replicate the finding that virtual human anger fails to influence value claiming but discover counter-intuitive findings on value creation. We argue these findings highlight the potential for intelligent virtual humans to yield insight into human psychology.},
keywords = {DTIC, Emotions, UARC, Virtual Humans},
pubstate = {published},
tppubtype = {inproceedings}
}
Hartholt, Arno; Fast, Ed; Li, Zongjian; Kim, Kevin; Leeds, Andrew; Mozgai, Sharon
In: Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents, pp. 1–8, ACM, Faro Portugal, 2022, ISBN: 978-1-4503-9248-8.
Links | BibTeX | Tags: DTIC, UARC, Virtual Humans
@inproceedings{hartholt_re-architecting_2022,
title = {Re-architecting the virtual human toolkit: towards an interoperable platform for embodied conversational agent research and development},
author = {Arno Hartholt and Ed Fast and Zongjian Li and Kevin Kim and Andrew Leeds and Sharon Mozgai},
url = {https://dl.acm.org/doi/10.1145/3514197.3549671},
doi = {10.1145/3514197.3549671},
isbn = {978-1-4503-9248-8},
year = {2022},
date = {2022-09-01},
urldate = {2022-09-15},
booktitle = {Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents},
pages = {1--8},
publisher = {ACM},
address = {Faro Portugal},
keywords = {DTIC, UARC, Virtual Humans},
pubstate = {published},
tppubtype = {inproceedings}
}
Georgila, Kallirroi
Comparing Regression Methods for Dialogue System Evaluation on a Richly Annotated Corpus Inproceedings
In: 2022.
Abstract | Links | BibTeX | Tags:
@inproceedings{georgila_comparing_2022,
title = {Comparing Regression Methods for Dialogue System Evaluation on a Richly Annotated Corpus},
author = {Kallirroi Georgila},
url = {http://semdial.org/anthology/papers/Z/Z22/Z22-3011/},
year = {2022},
date = {2022-08-01},
urldate = {2023-03-31},
abstract = {Wecompare various state-of-the-art regression methods for predicting user ratings of their interaction with a dialogue system using a richly annotated corpus. We vary the size of the training data and, in particular for kernel-based methods, we vary the type of kernel used. Furthermore, we experiment with various domainindependent features, including feature combinations that do not rely on complex annotations. We present detailed results in terms of root mean square error, and Pearson’s r and Spearman’s ρ correlations. Our results show that in many cases Gaussian Process Regression leads to modest but statistically significant gains compared to Support Vector Regression (a strong baseline), and that the type of kernel used matters. The gains are even larger when compared to linear regression. The larger the training data set the higher the gains but for some cases more data may result in over-fitting. Finally, some feature combinations work better than others but overall the best results are obtained when all features are used.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Pynadath, David V.; Gurney, Nikolos; Wang, Ning
Explainable Reinforcement Learning in Human-Robot Teams: The Impact of Decision-Tree Explanations on Transparency Inproceedings
In: 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp. 749–756, 2022, (ISSN: 1944-9437).
Abstract | Links | BibTeX | Tags:
@inproceedings{pynadath_explainable_2022,
title = {Explainable Reinforcement Learning in Human-Robot Teams: The Impact of Decision-Tree Explanations on Transparency},
author = {David V. Pynadath and Nikolos Gurney and Ning Wang},
doi = {10.1109/RO-MAN53752.2022.9900608},
year = {2022},
date = {2022-08-01},
booktitle = {2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)},
pages = {749--756},
abstract = {Understanding the decisions of AI-driven systems and the rationale behind such decisions is key to the success of the human-robot team. However, the complexity and the "black-box" nature of many AI algorithms create a barrier for establishing such understanding within their human counterparts. Reinforcement Learning (RL), a machine-learning algorithm based on the simple idea of action-reward mappings, has a rich quantitative representation and a complex iterative reasoning process that present a significant obstacle to human understanding of, for example, how value functions are constructed, how the algorithms update the value functions, and how such updates impact the action/policy chosen by the robot. In this paper, we discuss our work to address this challenge by developing a decision-tree based explainable model for RL to make a robot’s decision-making process more transparent. Set in a human-robot virtual teaming testbed, we conducted a study to assess the impact of the explanations, generated using decision trees, on building transparency, calibrating trust, and improving the overall human-robot team’s performance. We discuss the design of the explainable model and the positive impact of the explanations on outcome measures.},
note = {ISSN: 1944-9437},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Melo, Celso; Gratch, Jonathan; Krueger, Frank
Heuristic thinking and altruism toward machines in people impacted by COVID-19 Journal Article
In: Yearb Med Inform, vol. 31, no. 1, pp. 226–227, 2022, ISSN: 0943-4747, 2364-0502, (Publisher: Georg Thieme Verlag KG).
Abstract | Links | BibTeX | Tags:
@article{de_melo_heuristic_2022,
title = {Heuristic thinking and altruism toward machines in people impacted by COVID-19},
author = {Celso Melo and Jonathan Gratch and Frank Krueger},
url = {http://www.thieme-connect.de/DOI/DOI?10.1055/s-0042-1742544},
doi = {10.1055/s-0042-1742544},
issn = {0943-4747, 2364-0502},
year = {2022},
date = {2022-08-01},
urldate = {2023-03-31},
journal = {Yearb Med Inform},
volume = {31},
number = {1},
pages = {226--227},
abstract = {he authors conducted a study of how human interaction with machines needs to be studied, given the advent of intelligent systems in everyday life (such as autonomous vehicles) and how COVID-19 experiences shape human altruistic responses to machines. The authors correctly claim that more study of how humans can collaborate, and their attitudes and behavior toward machines differs from social norms with humans. They make use of the ‘Computers as Social Actors’ theory of Reeves and Nass (1996), which was influential in human computer and robot interaction research. It argues that people heuristically treat machines like people, and that encouraging intuitive thinking, in contrast to deliberation, led to increased cooperation in non-strategic settings. The authors are the first to apply and test this with concrete cognitive studies. The dictator game is used to measure altruism; the user has options to give tokens to another user (in this case the computer or a ‘human’ (both delivered by computer message to obscure the source). 186 participants were used as senders, across 40 US states, and provided a diverse sample. They were administered the abbreviated Post-Traumatic Stress Disorder (PTSD) checklist (to measure COVID-19 impact), and three subjective scales to gain insight on mechanisms. These were the Cognitive Reflection test to measure if those impacted engage in reduced reflection, i.e., more intuitive thinking, the Faith in Technology scale, and the Moral Foundations Questionnaire. Results showed a reduction in the usual bias against fairness toward machines the more the user had been impacted by COVID-19. There were also sharp increases in intuitive (and incorrect) thinking and faith in technology among the most highly affected group. The authors through multiple mediation analysis showed that faith in technology and heuristic thinking mediate the offer bias. They also caution that in times of stress the disproportional impact of COVID-19 on vulnerable groups leads to the need for ethical guidelines and regulations to ensure altruism/cooperation shown to machines is well deserved. They also point out the factors such as individual stress propensity, education level, and socioeconomic status could make individuals susceptible to heuristic thinking, and other social norms such as reciprocity, trust and fairness may also shape collaboration with machines.},
note = {Publisher: Georg Thieme Verlag KG},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Awada, Mohamad; Becerik-Gerber, Burcin; Lucas, Gale; Roll, Shawn
Cognitive performance, creativity and stress levels of neurotypical young adults under different white noise levels Journal Article
In: Sci Rep, vol. 12, no. 1, pp. 14566, 2022, ISSN: 2045-2322, (Number: 1 Publisher: Nature Publishing Group).
Abstract | Links | BibTeX | Tags:
@article{awada_cognitive_2022,
title = {Cognitive performance, creativity and stress levels of neurotypical young adults under different white noise levels},
author = {Mohamad Awada and Burcin Becerik-Gerber and Gale Lucas and Shawn Roll},
url = {https://www.nature.com/articles/s41598-022-18862-w},
doi = {10.1038/s41598-022-18862-w},
issn = {2045-2322},
year = {2022},
date = {2022-08-01},
urldate = {2023-03-31},
journal = {Sci Rep},
volume = {12},
number = {1},
pages = {14566},
abstract = {Noise is often considered a distractor; however recent studies suggest that sub-attentive individuals or individuals diagnosed with attention deficit hyperactivity disorder can benefit from white noise to enhance their cognitive performance. Research regarding the effect of white noise on neurotypical adults presents mixed results, thus the implications of white noise on the neurotypical population remain unclear. Thus, this study investigates the effect of 2 white noise conditions, white noise level at 45 dB and white noise level at 65 dB, on the cognitive performance, creativity, and stress levels of neurotypical young adults in a private office space. These conditions are compared to a baseline condition where participants are exposed to the office ambient noise. Our findings showed that the white noise level at 45 dB resulted in better cognitive performance in terms of sustained attention, accuracy, and speed of performance as well as enhanced creativity and lower stress levels. On the other hand, the 65 dB white noise condition led to improved working memory but higher stress levels, which leads to the conclusion that different tasks might require different noise levels for optimal performance. These results lay the foundation for the integration of white noise into office workspaces as a tool to enhance office workers’ performance.},
note = {Number: 1
Publisher: Nature Publishing Group},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kuang, Zhengfei; Li, Jiaman; He, Mingming; Wang, Tong; Zhao, Yajie
DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points Inproceedings
In: pp. 542–549, IEEE Computer Society, 2022, ISBN: 978-1-66549-062-7.
Abstract | Links | BibTeX | Tags: VGL
@inproceedings{kuang_densegap_2022,
title = {DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points},
author = {Zhengfei Kuang and Jiaman Li and Mingming He and Tong Wang and Yajie Zhao},
url = {https://www.computer.org/csdl/proceedings-article/icpr/2022/09956472/1IHpppIuqOc},
doi = {10.1109/ICPR56361.2022.9956472},
isbn = {978-1-66549-062-7},
year = {2022},
date = {2022-08-01},
urldate = {2023-03-31},
pages = {542--549},
publisher = {IEEE Computer Society},
abstract = {Establishing dense correspondence between two images is a fundamental computer vision problem, which is typically tackled by matching local feature descriptors. However, without global awareness, such local features are often insufficient for disambiguating similar regions. And computing the pairwise feature correlation across images is both computation-expensive and memory-intensive. To make the local features aware of the global context and improve their matching accuracy, we introduce DenseGAP, a new solution for efficient Dense correspondence learning with a Graph-structured neural network conditioned on Anchor Points. Specifically, we first propose a graph structure that utilizes anchor points to provide sparse but reliable prior on inter- and intra-image context and propagates them to all image points via directed edges. We also design a graph-structured network to broadcast multi-level contexts via light-weighted message-passing layers and generate high-resolution feature maps at low memory cost. Finally, based on the predicted feature maps, we introduce a coarse-to-fine framework for accurate correspondence prediction using cycle consistency. Our feature descriptors capture both local and global information, thus enabling a continuous feature field for querying arbitrary points at high resolution. Through comprehensive ablative experiments and evaluations on large-scale indoor and outdoor datasets, we demonstrate that our method advances the state-of-the-art of correspondence learning on most benchmarks.},
keywords = {VGL},
pubstate = {published},
tppubtype = {inproceedings}
}
Gurney, Nikolos; Pynadath, David V.
Robots with Theory of Mind for Humans: A Survey Inproceedings
In: 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp. 993–1000, 2022, (ISSN: 1944-9437).
Abstract | Links | BibTeX | Tags:
@inproceedings{gurney_robots_2022,
title = {Robots with Theory of Mind for Humans: A Survey},
author = {Nikolos Gurney and David V. Pynadath},
url = {https://ieeexplore.ieee.org/abstract/document/9900662},
doi = {10.1109/RO-MAN53752.2022.9900662},
year = {2022},
date = {2022-08-01},
booktitle = {2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)},
pages = {993--1000},
abstract = {Theory of Mind (ToM) is a psychological construct that captures the ability to ascribe mental states to others and then use those representations for explaining and predicting behavior. We review recent progress in endowing artificially intelligent robots with ToM. A broad array of modeling, experimental, and benchmarking approaches and methods are present in the extant literature. Unlike other domains of human cognition for which research has achieved super-human capabilities, ToM for robots lacks a unified construct and is not consistently benchmarked or validated—realities which possibly hinder progress in this domain. We argue that this is, at least in part, due to inconsistent defining of ToM, no presence of a unifying modeling construct, and the absence of a shared data resource. We believe these would improve the ability of the research community to compare the ToM abilities of different systems. We suggest that establishing a shared definition of ToM, creating a shared data resource that supports consistent benchmarking & validation, and developing a generalized modeling tool are critical steps towards giving robots ToM capabilities that lay observers will recognize as such.},
note = {ISSN: 1944-9437},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Korand, Sridevi; Fung, Cha Chi; Cohen, Sammy; Talbot, Thomas B.; Fischer, Susan; Luu, Cindy; Sargsyan, Mariam; Ben-Isaac, Eyal; Espinoza, Juan; Chang, Todd P.
In: Simulation & Gaming, vol. 53, no. 4, pp. 335–352, 2022, ISSN: 1046-8781, 1552-826X.
Abstract | Links | BibTeX | Tags: MedVR
@article{korand_association_2022,
title = {The Association Between Multitasking and Multi-Patient Care Skills in a Simulated Patient Care Video Game Among Second Year Medical Students Based on Specialty Choice},
author = {Sridevi Korand and Cha Chi Fung and Sammy Cohen and Thomas B. Talbot and Susan Fischer and Cindy Luu and Mariam Sargsyan and Eyal Ben-Isaac and Juan Espinoza and Todd P. Chang},
url = {http://journals.sagepub.com/doi/10.1177/10468781221103460},
doi = {10.1177/10468781221103460},
issn = {1046-8781, 1552-826X},
year = {2022},
date = {2022-08-01},
urldate = {2022-09-21},
journal = {Simulation & Gaming},
volume = {53},
number = {4},
pages = {335--352},
abstract = {Background and Objective Healthcare providers require multitasking and multi-patient care skills, and training programs do not formally incorporate curricula specifically for multitasking skills to trainees. The medical education community is in equipoise on whether multitasking ability is a fixed trait. Furthermore, it is unclear whether multitasking ability affects those who gravitate toward careers that demand it, particularly among medical students deciding on a specialty. We sought to define the association between specialty choice, multitasking abilities and multi-patient care delivery among pre-clinical medical students. For this study, we examined both efficiency and accuracy metrics within multitasking and whether they were different between students choosing specialties. Methods This was a planned cross-sectional sub-study focused on 2nd year medical students (MS-IIs) within a parent study evaluating multi-patient care skills using a serious game (VitalSigns:ED TM ) depicting a pediatric emergency department. Subjects completed a Multitasking Ability Test (MTAT) and five VitalSigns:ED gameplays. The predictor variable was specialty choice, categorized into multitasking and non-multitasking groups. Outcome variables measuring efficiency and diagnostic accuracy were obtained from the MTAT and the game. The primary analysis was a Mann–Whitney U test, and secondary analyses employed Spearman Rank correlations. Results Twelve students applied to multitasking specialties and 18 applied to others. Those in the multitasking specialties had faster MTAT completions than the other cohort (29.8 vs. 59.7 sec, 95%CI difference -0.9 to -39.8 sec). Differential diagnoses were higher in multitasking specialties in VitalSigns:ED (2.03 vs. 1.06, 95%CI difference +0.05 to +1.54) but efficiency metrics in the game did not differ. Conclusion Multitasking and multi-patient care performance show some association with preferred specialty choices for MS-IIs prior to clinical exposure.},
keywords = {MedVR},
pubstate = {published},
tppubtype = {article}
}
Barrett, Trevor J.; Sobhani, Mona; Fox, Glenn R.; Files, Benjamin; Patitsas, Nicholas; Duhaime, Josiah; Ebert, Rebecca; Faulk, Rob; Saxon, Leslie
Diverse predictors of early attrition in an elite Marine training school Journal Article
In: Military Psychology, vol. 34, no. 4, pp. 388–397, 2022, ISSN: 0899-5605, 1532-7876.
Links | BibTeX | Tags: CBC, DTIC
@article{barrett_diverse_2022,
title = {Diverse predictors of early attrition in an elite Marine training school},
author = {Trevor J. Barrett and Mona Sobhani and Glenn R. Fox and Benjamin Files and Nicholas Patitsas and Josiah Duhaime and Rebecca Ebert and Rob Faulk and Leslie Saxon},
url = {https://www.tandfonline.com/doi/full/10.1080/08995605.2021.1993721},
doi = {10.1080/08995605.2021.1993721},
issn = {0899-5605, 1532-7876},
year = {2022},
date = {2022-07-01},
urldate = {2022-09-27},
journal = {Military Psychology},
volume = {34},
number = {4},
pages = {388--397},
keywords = {CBC, DTIC},
pubstate = {published},
tppubtype = {article}
}
Speggiorin, Alessandro; Dalton, Jeffrey; Leuski, Anton
TaskMAD: A Platform for Multimodal Task-Centric Knowledge-Grounded Conversational Experimentation Inproceedings
In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 3240–3244, ACM, Madrid Spain, 2022, ISBN: 978-1-4503-8732-3.
Links | BibTeX | Tags: Dialogue, DTIC, UARC
@inproceedings{speggiorin_taskmad_2022,
title = {TaskMAD: A Platform for Multimodal Task-Centric Knowledge-Grounded Conversational Experimentation},
author = {Alessandro Speggiorin and Jeffrey Dalton and Anton Leuski},
url = {https://dl.acm.org/doi/10.1145/3477495.3531679},
doi = {10.1145/3477495.3531679},
isbn = {978-1-4503-8732-3},
year = {2022},
date = {2022-07-01},
urldate = {2022-09-22},
booktitle = {Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval},
pages = {3240--3244},
publisher = {ACM},
address = {Madrid Spain},
keywords = {Dialogue, DTIC, UARC},
pubstate = {published},
tppubtype = {inproceedings}
}
Angelika-Nikita, Maria; Melo, Celso M.; Terada, Kazunori; Lucas, Gale; Gratch, Jonathan
The Impact of Partner Expressions on Felt Emotion in the Iterated Prisoner's Dilemma: An Event-level Analysis Miscellaneous
2022.
Abstract | Links | BibTeX | Tags:
@misc{angelika-nikita_impact_2022,
title = {The Impact of Partner Expressions on Felt Emotion in the Iterated Prisoner's Dilemma: An Event-level Analysis},
author = {Maria Angelika-Nikita and Celso M. Melo and Kazunori Terada and Gale Lucas and Jonathan Gratch},
url = {http://arxiv.org/abs/2207.00925},
doi = {10.48550/arXiv.2207.00925},
year = {2022},
date = {2022-07-01},
urldate = {2022-09-22},
publisher = {arXiv},
abstract = {Social games like the prisoner's dilemma are often used to develop models of the role of emotion in social decision-making. Here we examine an understudied aspect of emotion in such games: how an individual's feelings are shaped by their partner's expressions. Prior research has tended to focus on other aspects of emotion. Research on felt-emotion has focused on how an individual's feelings shape how they treat their partner, or whether these feelings are authentically expressed. Research on expressed-emotion has focused on how an individual's decisions are shaped by their partner's expressions, without regard for whether these expressions actually evoke feelings. Here, we use computer-generated characters to examine how an individual's moment-to-moment feelings are shaped by (1) how they are treated by their partner and (2) what their partner expresses during this treatment. Surprisingly, we find that partner expressions are far more important than actions in determining self-reported feelings. In other words, our partner can behave in a selfish and exploitive way, but if they show a collaborative pattern of expressions, we will feel greater pleasure collaborating with them. These results also emphasize the importance of context in determining how someone will feel in response to an expression (i.e., knowing a partner is happy is insufficient; we must know what they are happy-at). We discuss the implications of this work for cognitive-system design, emotion theory, and methodological practice in affective computing.},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Karkada, Deepthi; Manuvinakurike, Ramesh; Paetzel-Prüsmann, Maike; Georgila, Kallirroi
Strategy-level Entrainment of Dialogue System Users in a Creative Visual Reference Resolution Task Inproceedings
In: Proceedings of the Thirteenth Language Resources and Evaluation Conference, pp. 5768–5777, European Language Resources Association, Marseille, France, 2022.
Abstract | Links | BibTeX | Tags:
@inproceedings{karkada_strategy-level_2022,
title = {Strategy-level Entrainment of Dialogue System Users in a Creative Visual Reference Resolution Task},
author = {Deepthi Karkada and Ramesh Manuvinakurike and Maike Paetzel-Prüsmann and Kallirroi Georgila},
url = {https://aclanthology.org/2022.lrec-1.620},
year = {2022},
date = {2022-06-01},
urldate = {2023-03-31},
booktitle = {Proceedings of the Thirteenth Language Resources and Evaluation Conference},
pages = {5768--5777},
publisher = {European Language Resources Association},
address = {Marseille, France},
abstract = {In this work, we study entrainment of users playing a creative reference resolution game with an autonomous dialogue system. The language understanding module in our dialogue system leverages annotated human-wizard conversational data, openly available knowledge graphs, and crowd-augmented data. Unlike previous entrainment work, our dialogue system does not attempt to make the human conversation partner adopt lexical items in their dialogue, but rather to adapt their descriptive strategy to one that is simpler to parse for our natural language understanding unit. By deploying this dialogue system through a crowd-sourced study, we show that users indeed entrain on a “strategy-level” without the change of strategy impinging on their creativity. Our work thus presents a promising future research direction for developing dialogue management systems that can strategically influence people's descriptive strategy to ease the system's language understanding in creative tasks.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Tur, Ada; Traum, David
Comparing Approaches to Language Understanding for Human-Robot Dialogue: An Error Taxonomy and Analysis Inproceedings
In: Proceedings of the Thirteenth Language Resources and Evaluation Conference, pp. 5813–5820, European Language Resources Association, Marseille, France, 2022.
Abstract | Links | BibTeX | Tags:
@inproceedings{tur_comparing_2022,
title = {Comparing Approaches to Language Understanding for Human-Robot Dialogue: An Error Taxonomy and Analysis},
author = {Ada Tur and David Traum},
url = {https://aclanthology.org/2022.lrec-1.625},
year = {2022},
date = {2022-06-01},
urldate = {2023-02-10},
booktitle = {Proceedings of the Thirteenth Language Resources and Evaluation Conference},
pages = {5813--5820},
publisher = {European Language Resources Association},
address = {Marseille, France},
abstract = {In this paper, we compare two different approaches to language understanding for a human-robot interaction domain in which a human commander gives navigation instructions to a robot. We contrast a relevance-based classifier with a GPT-2 model, using about 2000 input-output examples as training data. With this level of training data, the relevance-based model outperforms the GPT-2 based model 79% to 8%. We also present a taxonomy of types of errors made by each model, indicating that they have somewhat different strengths and weaknesses, so we also examine the potential for a combined model.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Chen, Haiwei; Liu, Jiayi; Chen, Weikai; Liu, Shichen; Zhao, Yajie
Exemplar-based Pattern Synthesis with Implicit Periodic Field Network Inproceedings
In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3698–3707, IEEE, New Orleans, LA, USA, 2022, ISBN: 978-1-66546-946-3.
@inproceedings{chen_exemplar-based_2022,
title = {Exemplar-based Pattern Synthesis with Implicit Periodic Field Network},
author = {Haiwei Chen and Jiayi Liu and Weikai Chen and Shichen Liu and Yajie Zhao},
url = {https://ieeexplore.ieee.org/document/9879904/},
doi = {10.1109/CVPR52688.2022.00369},
isbn = {978-1-66546-946-3},
year = {2022},
date = {2022-06-01},
urldate = {2023-02-10},
booktitle = {2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
pages = {3698--3707},
publisher = {IEEE},
address = {New Orleans, LA, USA},
keywords = {VGL},
pubstate = {published},
tppubtype = {inproceedings}
}
Tadimeti, Divya; Georgila, Kallirroi; Traum, David
Evaluation of Off-the-shelf Speech Recognizers on Different Accents in a Dialogue Domain Inproceedings
In: Proceedings of the Language Resources and Evaluation Conference, pp. 6001–6008, European Language Resources Association, Marseille, France, 2022.
Abstract | Links | BibTeX | Tags:
@inproceedings{tadimeti_evaluation_2022,
title = {Evaluation of Off-the-shelf Speech Recognizers on Different Accents in a Dialogue Domain},
author = {Divya Tadimeti and Kallirroi Georgila and David Traum},
url = {https://aclanthology.org/2022.lrec-1.645},
year = {2022},
date = {2022-06-01},
booktitle = {Proceedings of the Language Resources and Evaluation Conference},
pages = {6001--6008},
publisher = {European Language Resources Association},
address = {Marseille, France},
abstract = {We evaluate several publicly available off-the-shelf (commercial and research) automatic speech recognition (ASR) systems on dialogue agent-directed English speech from speakers with General American vs. non-American accents. Our results show that the performance of the ASR systems for non-American accents is considerably worse than for General American accents. Depending on the recognizer, the absolute difference in performance between General American accents and all non-American accents combined can vary approximately from 2% to 12%, with relative differences varying approximately between 16% and 49%. This drop in performance becomes even larger when we consider specific categories of non-American accents indicating a need for more diligent collection of and training on non-native English speaker data in order to narrow this performance gap. There are performance differences across ASR systems, and while the same general pattern holds, with more errors for non-American accents, there are some accents for which the best recognizer is different than in the overall case. We expect these results to be useful for dialogue system designers in developing more robust inclusive dialogue systems, and for ASR providers in taking into account performance requirements for different accents.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Cleland, John G. F.; Bristow, Michael R.; Freemantle, Nicholas; Olshansky, Brian; Gras, Daniel; Saxon, Leslie; Tavazzi, Luigi; Boehmer, John; Ghio, Stefano; Feldman, Arthur M.; Daubert, Jean‐Claude; Mets, David
In: European J of Heart Fail, vol. 24, no. 6, pp. 1080–1090, 2022, ISSN: 1388-9842, 1879-0844.
@article{cleland_effect_2022,
title = {The effect of cardiac resynchronization without a defibrillator on morbidity and mortality: an individual patient data meta‐analysis of companion and care-hf},
author = {John G. F. Cleland and Michael R. Bristow and Nicholas Freemantle and Brian Olshansky and Daniel Gras and Leslie Saxon and Luigi Tavazzi and John Boehmer and Stefano Ghio and Arthur M. Feldman and Jean‐Claude Daubert and David Mets},
url = {https://onlinelibrary.wiley.com/doi/10.1002/ejhf.2524},
doi = {10.1002/ejhf.2524},
issn = {1388-9842, 1879-0844},
year = {2022},
date = {2022-06-01},
urldate = {2022-09-27},
journal = {European J of Heart Fail},
volume = {24},
number = {6},
pages = {1080--1090},
keywords = {CBC},
pubstate = {published},
tppubtype = {article}
}
Mozgai, Sharon; Winn, Jade; Kaurloto, Cari; Leeds, Andrew; Heylen, Dirk; Hartholt, Arno
Toward a Semi-Automated Scoping Review of Virtual Human Smiles Inproceedings
In: Proceedings of the Smiling and Laughter across Contexts and the Life-span Workshop, 2022.
Links | BibTeX | Tags: DTIC, UARC, Virtual Humans
@inproceedings{mozgai_toward_2022,
title = {Toward a Semi-Automated Scoping Review of Virtual Human Smiles},
author = {Sharon Mozgai and Jade Winn and Cari Kaurloto and Andrew Leeds and Dirk Heylen and Arno Hartholt},
url = {http://www.lrec-conf.org/proceedings/lrec2022/workshops/SmiLa/index.html},
year = {2022},
date = {2022-06-01},
booktitle = {Proceedings of the Smiling and Laughter across Contexts and the Life-span Workshop},
keywords = {DTIC, UARC, Virtual Humans},
pubstate = {published},
tppubtype = {inproceedings}
}
Tran, Minh; Soleymani, Mohammad
A Pre-Trained Audio-Visual Transformer for Emotion Recognition Inproceedings
In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4698–4702, IEEE, Singapore, Singapore, 2022, ISBN: 978-1-66540-540-9.
Links | BibTeX | Tags: DTIC, Emotions, Virtual Humans
@inproceedings{tran_pre-trained_2022,
title = {A Pre-Trained Audio-Visual Transformer for Emotion Recognition},
author = {Minh Tran and Mohammad Soleymani},
url = {https://ieeexplore.ieee.org/document/9747278/},
doi = {10.1109/ICASSP43922.2022.9747278},
isbn = {978-1-66540-540-9},
year = {2022},
date = {2022-05-01},
urldate = {2022-09-23},
booktitle = {ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages = {4698--4702},
publisher = {IEEE},
address = {Singapore, Singapore},
keywords = {DTIC, Emotions, Virtual Humans},
pubstate = {published},
tppubtype = {inproceedings}
}
Zhu, Haidong; Zheng, Zhaoheng; Soleymani, Mohammad; Nevatia, Ram
Self-Supervised Learning for Sentiment Analysis via Image-Text Matching Inproceedings
In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1710–1714, IEEE, Singapore, Singapore, 2022, ISBN: 978-1-66540-540-9.
Links | BibTeX | Tags: Emotions
@inproceedings{zhu_self-supervised_2022,
title = {Self-Supervised Learning for Sentiment Analysis via Image-Text Matching},
author = {Haidong Zhu and Zhaoheng Zheng and Mohammad Soleymani and Ram Nevatia},
url = {https://ieeexplore.ieee.org/document/9747819/},
doi = {10.1109/ICASSP43922.2022.9747819},
isbn = {978-1-66540-540-9},
year = {2022},
date = {2022-05-01},
urldate = {2022-09-23},
booktitle = {ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages = {1710--1714},
publisher = {IEEE},
address = {Singapore, Singapore},
keywords = {Emotions},
pubstate = {published},
tppubtype = {inproceedings}
}
Adami, Pooya; Rodrigues, Patrick B.; Woods, Peter J.; Becerik-Gerber, Burcin; Soibelman, Lucio; Copur-Gencturk, Yasemin; Lucas, Gale
Impact of VR-Based Training on Human–Robot Interaction for Remote Operating Construction Robots Journal Article
In: J. Comput. Civ. Eng., vol. 36, no. 3, pp. 04022006, 2022, ISSN: 0887-3801, 1943-5487.
Links | BibTeX | Tags: DTIC, UARC, Virtual Humans, VR
@article{adami_impact_2022,
title = {Impact of VR-Based Training on Human–Robot Interaction for Remote Operating Construction Robots},
author = {Pooya Adami and Patrick B. Rodrigues and Peter J. Woods and Burcin Becerik-Gerber and Lucio Soibelman and Yasemin Copur-Gencturk and Gale Lucas},
url = {https://ascelibrary.org/doi/10.1061/%28ASCE%29CP.1943-5487.0001016},
doi = {10.1061/(ASCE)CP.1943-5487.0001016},
issn = {0887-3801, 1943-5487},
year = {2022},
date = {2022-05-01},
urldate = {2022-09-23},
journal = {J. Comput. Civ. Eng.},
volume = {36},
number = {3},
pages = {04022006},
keywords = {DTIC, UARC, Virtual Humans, VR},
pubstate = {published},
tppubtype = {article}
}