Can Touch Interaction Predict Product-Related Emotion? A Study on Mobile Augmented Reality
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | AMCIS 2020 Proceedings |
| Publisher | Association for Information Systems |
| Number of pages | 5 |
| ISBN (print) | 978-1-7336325-4-6 |
| Publication status | Published - Aug 2020 |
Publication series
| Name | Americas Conference on Information Systems, AMCIS |
|---|
Conference
| Title | 26th Americas Conference on Information Systems (AMCIS 2020) |
|---|---|
| Location | Virtual |
| Period | 10 - 14 August 2020 |
Link(s)
| Document Link | Links
|
|---|---|
| Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85097719529&origin=recordpage |
| Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(641c9f58-c9ff-4a6b-bf7a-04705d44bdc4).html |
Abstract
The 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.
Research Area(s)
- Predictive analytics, augmented reality, human-computer interaction, emotion analytics, m-commerce
Bibliographic Note
Research Unit(s) information for this publication is provided by the author(s) concerned.
Citation Format(s)
Can Touch Interaction Predict Product-Related Emotion? A Study on Mobile Augmented Reality. / Tarafdar, Pratik; Leung, Alvin; Yue, Wei Thoo et al.
AMCIS 2020 Proceedings. Association for Information Systems, 2020. (Americas Conference on Information Systems, AMCIS).
AMCIS 2020 Proceedings. Association for Information Systems, 2020. (Americas Conference on Information Systems, AMCIS).
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
