Towards a better understanding of mobile shopping assistants: a large scale usage analysis of a mobile bargain finder application

  • Authors:
  • Stephan Karpischek;Gilad Geron;Florian Michahelles

  • Affiliations:
  • ETH Zürich, Zürich, Switzerland;ETH Zürich, Zürich, Switzerland;ETH Zürich, Zürich, Switzerland

  • Venue:
  • Proceedings of the 2nd international workshop on Research in the large
  • Year:
  • 2011

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Abstract

Mobile shopping assistants have been subject to research in the field of ubiquitous and pervasive computing for many years. Now the wide adoption of mobile shopping applications for smartphones allows evaluation on a large scale. To study how consumers actually use these applications, we analyze server logs of a mobile bargain finder application for the iPhone used by 33,000 users over a period of six months. In this paper we discuss our approach, the methods we have used, and some challenges and limitations we have encountered. First results indicate that contrary to the focus of most research in the field the application is used rather from home than at the point of sale or on the go.