Shopmobia: An emotion-based shop rating system

Nouf Alajmi, Eiman Kanjo, Nour El Mawass, Alan Chamberlain

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

22 Citations (Scopus)

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 Electro dermal 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.

Original languageEnglish
Title of host publicationProceedings - 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013
PublisherIEEE Press
Pages745-750
Number of pages6
ISBN (Print)9780769550480
DOIs
Publication statusPublished - 31 Dec 2013
Event2013 5th Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013 - Geneva, Switzerland
Duration: 02 Sept 201305 Sept 2013

Publication series

NameProceedings - 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013

Conference

Conference2013 5th Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013
Country/TerritorySwitzerland
CityGeneva
Period02 Sept 201305 Sept 2013

Keywords

  • Affective computing
  • Electrodermal activity
  • Mobile sensing
  • Neuro-marketing
  • Pervasive computing

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