The Passive Sensing Agent: A Multimodal Adaptive mHealth Application (bibtex)
by Mozgai, Sharon, Hartholt, Arno and Rizzo, Albert
Abstract:
We are demoing the Passive Sensing Agent (PSA), an mHealth virtual human coach, that collects multimodal data through passive sensors native to popular wearables (e.g., Apple Watch, FitBit, and Garmin). This virtual human interface delivers adaptive multi-media content via smartphone application that is specifically tailored to the user in the interdependent domains of physical, cognitive, and emotional health. Initially developed for the military, the PSA delivers health interventions (e.g., educational exercises, physical challenges, and performance feedback) matched to the individual user via novel adaptive logic-based algorithms while employing various behavior change techniques (e.g., goal-setting, barrier identification, rewards, modeling, etc.). A virtual human coach leads all interactions including the firsttime user experience and the brief daily sessions. All interactions were specifically designed to engage and motivate the user while continuously collecting data on their cognitive, emotional, and physical fitness. This multi-component application is integrated and deployed on an iPhone and Apple Watch prototype; a civilian version is currently in-development.
Reference:
The Passive Sensing Agent: A Multimodal Adaptive mHealth Application (Mozgai, Sharon, Hartholt, Arno and Rizzo, Albert), In Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), IEEE, 2020.
Bibtex Entry:
@inproceedings{mozgai_passive_2020,
	address = {Austin, TX, USA},
	title = {The {Passive} {Sensing} {Agent}: {A} {Multimodal} {Adaptive} {mHealth} {Application}},
	isbn = {978-1-72814-716-1},
	url = {https://ieeexplore.ieee.org/document/9156177/},
	doi = {10.1109/PerComWorkshops48775.2020.9156177},
	abstract = {We are demoing the Passive Sensing Agent (PSA), an mHealth virtual human coach, that collects multimodal data through passive sensors native to popular wearables (e.g., Apple Watch, FitBit, and Garmin). This virtual human interface delivers adaptive multi-media content via smartphone application that is specifically tailored to the user in the interdependent domains of physical, cognitive, and emotional health. Initially developed for the military, the PSA delivers health interventions (e.g., educational exercises, physical challenges, and performance feedback) matched to the individual user via novel adaptive logic-based algorithms while employing various behavior change techniques (e.g., goal-setting, barrier identification, rewards, modeling, etc.). A virtual human coach leads all interactions including the firsttime user experience and the brief daily sessions. All interactions were specifically designed to engage and motivate the user while continuously collecting data on their cognitive, emotional, and physical fitness. This multi-component application is integrated and deployed on an iPhone and Apple Watch prototype; a civilian version is currently in-development.},
	booktitle = {Proceedings of the 2020 {IEEE} {International} {Conference} on {Pervasive} {Computing} and {Communications} {Workshops} ({PerCom} {Workshops})},
	publisher = {IEEE},
	author = {Mozgai, Sharon and Hartholt, Arno and Rizzo, Albert},
	month = mar,
	year = {2020},
	keywords = {MedVR, UARC, Virtual Humans},
	pages = {1--3}
}
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