Space Topology Change Mostly Attracts Human Attention: An Implicit Feedback VR Driving System

Tingting Li, Fanyu Wang, Zhenping Xie

Abstract: Driving safety, especially for autonomous vehicles, is severely chal-lenged by unexpected object motions. To investigate the internal mechanism of how human vision can instantly and robustly respond to those sudden changes, a novel implicit feedback VR driving sys-tem is designed. Wherein, the object-level and space-level topologi-cal properties for scene changes are introduced, and the simulated driving scenes are constructed in VR environment with EEG signals and eye-tracking feedback. The experimental results demonstrate that, space-level topology changes mostly attract human visual attention among the space-level, object-level and non-topology changes. Obviously, the results inform a very solid theoretical foundation for developing safer assisted even autonomous driving systems.