Eye Tracking-Based Reverse Inference Approach for Design of Restaurant Information Display

This paper develops an eye tracking-based reverse inference approach to find possible solutions for effective information display design in restaurant contexts. In the approach developed, the "reverse inference" in which eye tracking data are interpreted based on a pre-determined analysis framework, is emphasized. A series of observations were conducted in which customers' eye movement data and their behavior while staying at a Japanese UDON restaurant named Hanamaru Udon were recorded in real working conditions. The recorded data include typical procedures at a restaurant such as entering, ordering, paying and eating). Based on the data, preliminary analysis in which the developed approach is adopted are carried out. In this paper, we present some of analysis results obtained from our on-going data analysis.