空间拓扑变化最吸引人类注意力:一种隐式反馈VR驾驶系统

Tingting Li, Fanyu Wang, Zhenping Xie
{"title":"空间拓扑变化最吸引人类注意力:一种隐式反馈VR驾驶系统","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":"{\"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}","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

摘要

驾驶安全,尤其是自动驾驶汽车,受到意外物体运动的严重挑战。为了探究人类视觉如何对这些突发变化做出快速鲁棒响应的内在机制,设计了一种新型的隐式反馈VR驾驶系统。其中,引入场景变化的对象级和空间级拓扑属性,利用脑电图信号和眼动追踪反馈构建虚拟现实环境下的模拟驾驶场景。实验结果表明,在空间级、对象级和非拓扑级变化中,空间级拓扑变化最能引起人的视觉注意。显然,研究结果为开发更安全的辅助甚至自动驾驶系统提供了非常坚实的理论基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Space Topology Change Mostly Attracts Human Attention: An Implicit Feedback VR Driving System
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信