Abstract
Mobile retail is a space rich with plausible hypotheses but sparse on longitudinal datasets that give us a corpus of user behavior to validate or disprove theories around the use of digital devices in a physical store. Popular price comparison apps such as ShopSavvy have shown that a smartphone in the aisle is a reality that brick-and-mortar retailers have to contend with. A nuanced, data-driven understanding of a smartphone powered shopper might enable store-based retailers to leverage the smartphone rather than fear it as something that leads to sales erosion. To this end, we built and deployed a novel, mobile retail app that blends mobile, media and social capabilities. In this paper, we describe the user needs and design axioms behind the app, and the data that we’ve collected over the course of its use by about 5,500 users over the period of a year.
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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Engelsma, J., Jumah, F., Montoya, A., Roth, J., Vasudevan, V., Zavitz, G. (2013). Shop Social: The Adventures of a Barcode Scanning Application in the Wild. In: Uhler, D., Mehta, K., Wong, J.L. (eds) Mobile Computing, Applications, and Services. MobiCASE 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 110. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36632-1_23
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DOI: https://doi.org/10.1007/978-3-642-36632-1_23
Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-642-36632-1
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