Publications

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}