Analysis and Comparison of the Gaze Behavior of E-Scooter Drivers and Cyclists

Abstract

In this paper, we contribute an eye tracking study to evaluate the gaze behavior of e-scooter drivers and cyclists on high and low quality road surfaces. We recorded the surface quality with sensors and put the different surfaces in relation to the gaze behavior. We recorded eye movements of the participants and performed an Area of Interest (AOI) sequence analysis to identify gaze patterns. Found sequences show that on the high quality surface participants focused most commonly the distant road section and then shifted to nearer sections. Individual advantageous gaze sequences are omitted if the surface is poor. We found a significant difference in the attention distribution of the two means of transport. In addition, we can confirm previous results showing that low quality road surfaces cause the gaze to shift forward. However, the participants did not adapt their speed to the worse surface.