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Published in:
2017 | OriginalPaper | Chapter
A Method to Detect Problems in Information Display Design of Fast Food Restaurants Based on Customers’ Eye Movement Data
Authors : Hirotaka Aoki, Satoshi Suzuki
Published in: Advances in The Human Side of Service Engineering
Publisher: Springer International Publishing
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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.