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dc.contributor.authorTarafdar, Pratik
dc.contributor.authorLeung, Alvin Chung Man
dc.contributor.authorYue, Wei T.
dc.contributor.authorBose, Indranil
dc.descriptionPratik Tarafdar, Indian Institute of Management Calcutta, India; Alvin Chung Man Leung, City University of Hong Kong, Hong Kong; Wei T. Yue, City University of Hong Kong, Hong Kong; Indranil Bose, Indian Institute of Management Calcutta, India
dc.description.abstractThe advancement in immersive technologies provides online retailers the opportunity to integrate augmented reality (AR) experience for their customers. Using AR, the online product presentation is transformed from the pictorial representation to virtual interaction with the products. The virtual product interaction facilitates online retailers to detect product-related emotion through affective computing. For mobile AR, customers use touch gestures for virtual interaction. Using the theories related to immersive media and affective computing, we hypothesize that the touch movements and touch pressure in AR-based mobile applications are related to positive emotion during product interaction. Moreover, we describe a methodology to establish our hypotheses and to show that these variables can predict the produ ct-related emotion. We expect our research findings to have both theoretical and practical implications. It will explain why touch behavior can predict product-related emotion, and it will also demonstrate online retailers how to implement emotion analytics in AR shopping applications.
dc.publisher26th Americas Conference on Information Systems, AMCIS 2020
dc.publisherAssociation for Information Systems
dc.subjectAugmented reality
dc.subjectEmotion analytics
dc.subjectHuman-computer interaction
dc.subjectPredictive analytics
dc.titleCan touch interaction predict product-related emotion? a study on mobile augmented reality
dc.typeConference Paper
Appears in Collections:Management Information Systems

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