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    Affective Feedback in a Virtual Reality based Intelligent Supermarket

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    MartinAffectiveFeedback2017.pdf (813.7Kb)
    Downloads: 810
    Date
    2017
    Author
    Saha, Deba Pratim
    Martin, Thomas L.
    Knapp, R. Benjamin
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    Abstract
    The 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.
    URI
    http://hdl.handle.net/10919/80534
    Collections
    • Scholarly Works, Institute for Creativity, Arts, and Technology (ICAT) [35]
    • Strategic Growth Area: Creativity and Innovation (C&I) [150]

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