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Pervasive Computing in the Supermarket: Designing a Context-Aware Shopping Trolley

Author

Listed:
  • Darren Black

    (Systematic, Denmark)

  • Nils Jakob Clemmensen

    (Nordjyske Medier, Denmark)

  • Mikael B. Skov

    (Aalborg University, Denmark)

Abstract

Shopping in the real world is becoming an increasingly interactive experience as stores integrate various technologies to support shoppers. Based on an empirical study of supermarket shoppers, the authors designed a mobile context-aware system called the Context-Aware Shopping Trolley (CAST). The purpose of CAST is to support shopping in supermarkets through context-awareness and acquiring user attention, thus, the authors’ interactive trolley guides and directs shoppers in the handling and finding of groceries. An empirical evaluation showed that shoppers using CAST behaved differently than shoppers using a traditional trolley. Specifically, shoppers using CAST exhibited a more uniform pattern of product collection and found products more easily while travelling a shorter distance. As such, the study finds that CAST supported the supermarket shopping activity.

Suggested Citation

  • Darren Black & Nils Jakob Clemmensen & Mikael B. Skov, 2010. "Pervasive Computing in the Supermarket: Designing a Context-Aware Shopping Trolley," International Journal of Mobile Human Computer Interaction (IJMHCI), IGI Global, vol. 2(3), pages 31-43, July.
    • Handle: RePEc:igg:jmhci0:v:2:y:2010:i:3:p:31-43
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    Cited by:

    1. Wani, Mr. Nassir Ul Haq & Rehman, Mr. Noor, 2017. "Determinants of FDI in Afghanistan: An Empirical Analysis," MPRA Paper 81975, University Library of Munich, Germany, revised 03 May 2016.

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