{"title":"评估驾驶员对人机共驾车辆危险感知的定量方法","authors":"Zhongxiang Feng, Jingyu Li, Jing Liu, Wei Hao, Jiabin Zeng, Xiaoqin Xu, Zhipeng Huang","doi":"10.1080/10447318.2024.2397180","DOIUrl":null,"url":null,"abstract":"Hazard perception, as a dynamic indicator, intuitively characterizes drivers’ ability to detect potential hazard events in complex driving environments. However, current quantitative research on th...","PeriodicalId":54954,"journal":{"name":"International Journal of Human-Computer Interaction","volume":"3 1","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Quantitative Method of Assessing the Hazard Perception of Drivers in Human–Machine Codriving Vehicles\",\"authors\":\"Zhongxiang Feng, Jingyu Li, Jing Liu, Wei Hao, Jiabin Zeng, Xiaoqin Xu, Zhipeng Huang\",\"doi\":\"10.1080/10447318.2024.2397180\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hazard perception, as a dynamic indicator, intuitively characterizes drivers’ ability to detect potential hazard events in complex driving environments. However, current quantitative research on th...\",\"PeriodicalId\":54954,\"journal\":{\"name\":\"International Journal of Human-Computer Interaction\",\"volume\":\"3 1\",\"pages\":\"\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Human-Computer Interaction\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1080/10447318.2024.2397180\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, CYBERNETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Human-Computer Interaction","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/10447318.2024.2397180","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
A Quantitative Method of Assessing the Hazard Perception of Drivers in Human–Machine Codriving Vehicles
Hazard perception, as a dynamic indicator, intuitively characterizes drivers’ ability to detect potential hazard events in complex driving environments. However, current quantitative research on th...
期刊介绍：
The International Journal of Human-Computer Interaction addresses the cognitive, creative, social, health, and ergonomic aspects of interactive computing.
It emphasizes the human element in relation to the systems and contexts in which humans perform, operate, network, and communicate, including mobile apps, social media, online communities, and digital accessibility. The journal publishes original articles including reviews and reappraisals of the literature, empirical studies, and quantitative and qualitative contributions to the theories and applications of HCI.
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