Ambient recommendations in the pop-up shop

Garcia-Perate, Gonzalo; Dalton, Nicholas; Conroy-Dalton, Ruth and Wilson, Duncan (2013). Ambient recommendations in the pop-up shop. In: 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2013), 8-12 Sep 2013, Zurich, Switzerland, ACM, pp. 773–776.

DOI: https://doi.org/10.1145/2493432.2494525

URL: http://www.ubicomp.org/ubicomp2013/

Abstract

In this paper we present the design and first-stage analysis of a purposely built, smart, pop-up wine shop. Our shop learns from visitors’ choices and recommends wine using collaborative filtering and ambient feedback displays integrated into its furniture. Our ambient recommender system was tested in a controlled laboratory environment. We report on the qualitative feedback and between subjects study, testing the influence the system had in wine choice behavior. Participants reported the system helpful, and results from our empirical analysis suggest it influenced buying behavior.

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About

• Item ORO ID
• 38481
• Item Type
• Conference or Workshop Item
• Keywords
• ambient computing; social information filtering
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2013 ACM
• Related URLs
• • http://users.mct.open.ac.uk/nd2563/index...(Author Website)
• Depositing User
• Nicholas Dalton