Shopmobia: an emotion based shop rating system

Alajmi, N, Kanjo, E ORCID: https://orcid.org/0000-0002-1720-0661, El Mawass, N and Chamberlain, A, 2013. Shopmobia: an emotion based shop rating system. In: AFFINE 2013: Affective Interaction in Natural Environments (AFFINE), acii2013, Geneva, September 2013, Geneva, Switzerland.

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Abstract

This work proposes a system for rating shops and for monitoring the cell phone-based emotion responses of customers in a shopping mall environment. To measure customer satisfaction in a shopping environment, a mobile, non-intrusive and comfortable wearable biosensor is used to measure the Electrodermal Activity (EDA) of the shopper. The users’ proximity to the store is detected using NFC tags that report to the custom application on the mobile phone. The custom emotion recognition software analyses these streams of data in real-time and associates emotion levels to each event. The aim of this project is to demonstrate the possibility of using pervasive affective computing to explicate consumer behavior towards the stores in shopping malls. By triggering positive emotions through enhancing services and improving advertising campaigns, retailers can trigger positive emotional states, which ultimately contribute to a positive and memorable shopping experience.

Item Type:	Conference contribution
Creators:	Alajmi, N., Kanjo, E., El Mawass, N. and Chamberlain, A.
Publisher:	IEEE
Date:	2013
Divisions:	Schools > School of Science and Technology
Record created by:	EPrints Services
Date Added:	09 Oct 2015 10:30
Last Modified:	09 Jun 2017 13:31
URI:	https://irep.ntu.ac.uk/id/eprint/13942

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