Hybrid approach for evaluation of visibility of platform display: Subjective ratings combined with gaze behavior elicited from eye movement data

Abstract

In the present paper, we propose a hybrid approach for visibility evaluation based on both of conventional subjective ratings and eye tracking data analysis. In the hybrid approach, we obtain responses to questionnaire consisting of questions of visibility and aesthetic impressions. Additionally, we record eye movement data during seeing platform displays shown in a standard train station environment. From eye movement data, various indices representing how difficult it is to find a specific display and how much readable the texts on a specific display are calculated. By combining both of the data, interpretations regarding visibility are given. The proposed approach was applied to comparative visibility evaluations between three platform displays. Results of visibility evaluations as well as consistency between perceived visibility and gaze behavior are discussed.