Affective Feedback in a Virtual Reality based Intelligent Supermarket

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dc.contributor.authorSaha, Deba Pratimen
dc.contributor.authorMartin, Thomas L.en
dc.contributor.authorKnapp, R. Benjaminen
dc.date.accessioned2017-11-29T13:51:17Zen
dc.date.available2017-11-29T13:51:17Zen
dc.date.issued2017en
dc.description.abstractThe probabilistic nature of the inferences in a context-aware intelligent environment (CAIE) renders them vulnerable to erroneous decisions resulting in wrong services. Learning to recognize a user’s negative reactions to such wrong services will enable a CAIE to anticipate a service’s appropriateness. We propose a framework for continuous measurement of physiology to infer a user’s negative-emotions arising from receiving wrong services, thereby implementing an implicit-feedback loop in the CAIE system. To induce such negative-emotions, in this paper, we present a virtualreality (VR) based experimental platform while collecting real-time physiological data from ambulatory wearable sensors. Results from the electrodermal activity (EDA) data analysis reveal patterns that correlate with known features of negative-emotions, indicating the possibility to infer service appropriateness from user’s reactions to a service, thereby closing an implicit-feedback loop for the CAIE.en
dc.description.sponsorshipThe authors would like to thank Institute for Creativity, Arts and Technology at Virginia Tech for supporting this project, especially Reza Tasooji and Zachary Duer for helping us model the 3D environment.en
dc.identifier.doihttps://doi.org/10.1145/3123024.3124426en
dc.identifier.urihttp://hdl.handle.net/10919/80534en
dc.language.isoen_USen
dc.publisherACMen
dc.relation.ispartofUbiComp/ISWC 2017en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectPhysiological Computingen
dc.subjectAffective Feedbacken
dc.titleAffective Feedback in a Virtual Reality based Intelligent Supermarketen
dc.title.serialProceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computersen
dc.typeConference proceedingen

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