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Video-Based Conjoint Analysis and Agent Based Simulation for Estimating Customer’s Behavior

  • Conference paper
Intelligent Data Engineering and Automated Learning - IDEAL 2007 (IDEAL 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4881))

  • 3329 Accesses

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 – video-based conjoint analysis.

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Authors and Affiliations

  1. Dept. of Computer Science, National Derense Academy of Japan, 1-10-20 Hashirimizu, Yokosuka, Kanagawa 238-8686, Japan

    Hiroshi Sato, Masao Kubo & Akira Namatame

Authors
  1. Hiroshi Sato
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  2. Masao Kubo
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  3. Akira Namatame
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Editor information

Hujun Yin Peter Tino Emilio Corchado Will Byrne Xin Yao

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© 2007 Springer-Verlag Berlin Heidelberg

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Sato, H., Kubo, M., Namatame, A. (2007). Video-Based Conjoint Analysis and Agent Based Simulation for Estimating Customer’s Behavior. In: Yin, H., Tino, P., Corchado, E., Byrne, W., Yao, X. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2007. IDEAL 2007. Lecture Notes in Computer Science, vol 4881. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77226-2_110

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  • DOI: https://doi.org/10.1007/978-3-540-77226-2_110

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77225-5

  • Online ISBN: 978-3-540-77226-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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