Video-based conjoint analysis and agent based simulation for estimating customer's behavior

Authors:
Hiroshi Sato;Masao Kubo;Akira Namatame
Affiliations:
Dept. of Computer Science, National Derense Academy of Japan, Yokosuka, Kanagawa, Japan;Dept. of Computer Science, National Derense Academy of Japan, Yokosuka, Kanagawa, Japan;Dept. of Computer Science, National Derense Academy of Japan, Yokosuka, Kanagawa, Japan
Venue:
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Year:
2007

Citing 2
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Building knowledge for prevention of forgetting purchase based on customer behavior in a store

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Abstract

Conjoint analysis is a statistical technique to reveal customers' invisible preference using series of questions regarding tradeoffs in products. In this paper, we propose a new variant of this technique that uses products layout and customers' actions in a store instead of conjoint cards and answers. We demonstrate the effectiveness of this method by making agent-based in-store simulator that can reproduce the congestion in a store. The parameters of the agents in the simulator were determined by our technique - videobased conjoint analysis.