Development of Interface to Estimate Visual Distance Using Eye Tracking Device

Abstract

Glass-type eye tracking device records gaze direction of participants in the visual field. In order to integrate and compare the gaze data, it is necessary to transform the two-dimensional visual field coordinate system data into the three-dimensional common coordinate system data. This transformation requires visual distance data. Self-localization method used in robotics to estimate one's own position on a map can be used to estimate the visual distance in theory, but it is not possible in practice. Because, in eye tracking application, users have to match points in the visual field to those on map manually one by one. The authors developed an interface to support this task and made it possible to estimate the visual distance practically.