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Advances in The Human Side of Service Engineering pp 287–299Cite as

A Method to Detect Problems in Information Display Design of Fast Food Restaurants Based on Customers’ Eye Movement Data

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 494))

Abstract

This paper discusses a gaze-based method to find design problems in a Japanese UDON restaurant. The gaze-based method proposed is based on video-recorded customers’ behavior while staying at a restaurant as well as their eye movement data. In the method, the eye movement data are interpreted with their relations to customers’ task contexts. A series of experiments were conducted in which customers’ eye movement data as well as their behavior while staying at a Japanese UDON restaurant named Hanamaru Udon (including entering, ordering, paying and eating) were recorded in real store conditions. Based on the data, we are now conducting comparative analysis of each customer’s tendency of attention allocation processes to infer possible design problems. In this paper, we present some of analysis results obtained from our on-going data analysis.

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References

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Acknowledgments

This research was partly supported by the Grant-in-Aid for Scientific Research (C) (No. 15K01182), The Japan Society for the Promotion of Science. The authors would like to thank Kiyohito Tokui and Jun Takahashi, Hanamaru, Inc. Japan, and all the staffs at Hanamaru Udon Kichijoji Minami-Guchi-Ten for their great support for our study.

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Authors and Affiliations

  1. Department of Industrial Engineering and Economics, Tokyo Institute of Technology, 2-12-1-W9-75, Oh-okayama, Meguro-ku, Tokyo, Japan

    Hirotaka Aoki

  2. Department of Clinical Engineering, Kanagawa Institute of Technology, 1030 Shimoogino, Atsugi-shi, Kanagawa, Japan

    Satoshi Suzuki

Authors
  1. Hirotaka Aoki
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  2. Satoshi Suzuki
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Corresponding author

Correspondence to Hirotaka Aoki .

Editor information

Editors and Affiliations

  1. University of Central Florida , Orlando, Florida, USA

    Tareq Z. Ahram

  2. University of Central Florida , Orlando, USA

    Waldemar Karwowski

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Aoki, H., Suzuki, S. (2017). A Method to Detect Problems in Information Display Design of Fast Food Restaurants Based on Customers’ Eye Movement Data. In: Ahram, T., Karwowski, W. (eds) Advances in The Human Side of Service Engineering. Advances in Intelligent Systems and Computing, vol 494. Springer, Cham. https://doi.org/10.1007/978-3-319-41947-3_27

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  • DOI: https://doi.org/10.1007/978-3-319-41947-3_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41946-6

  • Online ISBN: 978-3-319-41947-3

  • eBook Packages: EngineeringEngineering (R0)

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