Preliminary analysis of visual cognition estimation in VR toward effective assistance timing for iterative visual search tasks
Syunsuke Yoshida, Makoto Sei, Akira Utsumi, Hirotake Yamazoe · 2021
This research aims to develop a method to assist iterative visual search tasks, and it focuses on visual cognition to achieve effective assistance. As a first step to this goal, we analyzed the participants’ gaze behaviors when they visually recognized a target in a VR environment. In the experiment, the effect of visual cognition difficulty (VCD) is considered. Analysis results show that the participants could visually recognize lower-VCD targets at an earlier timing. This suggests that VCD-based guidance may improve task performance.