{"title":"Space Topology Change Mostly Attracts Human Attention: An Implicit Feedback VR Driving System","authors":"Tingting Li, Fanyu Wang, Zhenping Xie","doi":"10.1109/VRW58643.2023.00269","DOIUrl":null,"url":null,"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.","PeriodicalId":412598,"journal":{"name":"2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VRW58643.2023.00269","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.