{"title":"个体差异预测驾驶员的危险感知能力","authors":"D. Barragan, Yi-Ching Lee","doi":"10.1504/ijhfe.2021.116073","DOIUrl":null,"url":null,"abstract":"Detecting dangerous driving scenarios has been shown to be affected by driving experience, risk-taking or risk perception, and visual search. Given that the results are largely mixed, it is important to understand which individual differences affect drivers' hazard perception abilities. Three hundred ninety-eight drivers recruited throughout the USA participated in an online study by completing a hazard perception video task, two visual perception tasks, and surveys. A latent structural equation model was evaluated finding that visual perception skills and knowledge of traffic laws predicted hazard perception skills. Unlike much of the existing literature, driving experience and risk perception did not predict hazard perception skills. Additionally, the results of a latent structural equation mediation model revealed that driving experience did not mediate the relationship between hazard perception skills and knowledge of traffic laws. These results may prove useful in redesigning training programs and targeting the most susceptible individuals to decrease crash risks.","PeriodicalId":37855,"journal":{"name":"International Journal of Human Factors and Ergonomics","volume":"1 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Individual differences predict drivers hazard perception skills\",\"authors\":\"D. Barragan, Yi-Ching Lee\",\"doi\":\"10.1504/ijhfe.2021.116073\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Detecting dangerous driving scenarios has been shown to be affected by driving experience, risk-taking or risk perception, and visual search. Given that the results are largely mixed, it is important to understand which individual differences affect drivers' hazard perception abilities. Three hundred ninety-eight drivers recruited throughout the USA participated in an online study by completing a hazard perception video task, two visual perception tasks, and surveys. A latent structural equation model was evaluated finding that visual perception skills and knowledge of traffic laws predicted hazard perception skills. Unlike much of the existing literature, driving experience and risk perception did not predict hazard perception skills. Additionally, the results of a latent structural equation mediation model revealed that driving experience did not mediate the relationship between hazard perception skills and knowledge of traffic laws. These results may prove useful in redesigning training programs and targeting the most susceptible individuals to decrease crash risks.\",\"PeriodicalId\":37855,\"journal\":{\"name\":\"International Journal of Human Factors and Ergonomics\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2021-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Human Factors and Ergonomics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijhfe.2021.116073\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ERGONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Human Factors and Ergonomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijhfe.2021.116073","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ERGONOMICS","Score":null,"Total":0}
Detecting dangerous driving scenarios has been shown to be affected by driving experience, risk-taking or risk perception, and visual search. Given that the results are largely mixed, it is important to understand which individual differences affect drivers' hazard perception abilities. Three hundred ninety-eight drivers recruited throughout the USA participated in an online study by completing a hazard perception video task, two visual perception tasks, and surveys. A latent structural equation model was evaluated finding that visual perception skills and knowledge of traffic laws predicted hazard perception skills. Unlike much of the existing literature, driving experience and risk perception did not predict hazard perception skills. Additionally, the results of a latent structural equation mediation model revealed that driving experience did not mediate the relationship between hazard perception skills and knowledge of traffic laws. These results may prove useful in redesigning training programs and targeting the most susceptible individuals to decrease crash risks.
期刊介绍:
IJHFE publishes high quality international interdisciplinary peer-reviewed manuscripts covering ergonomics and human factors in the design, planning, development and management of technical and social systems for work or leisure, including technical systems, equipment, products and the organisation of work. Topics covered include Environmental and physical ergonomics Human-machine systems design/tool/equipment design Eliciting human requirements on technology Usability/comfort/pleasure/cognitive engineering of human-technology interfaces Anthropometrics/design for people with disabilities Design of critical systems/equipment for extreme environments Human performance measurement and modelling Humans in transportation systems/technologically complex systems Cognitive ergonomics, information processing, information/multimedia design, expert systems Acceptability and effectiveness of technology change Training design, organisational design and psychosocial factors Management of the complex participation of people in their environment Human-centred/goal-driven design of technical/organisational systems. Topics covered include: -Environmental and physical ergonomics -Human-machine systems design/tool/equipment design -Eliciting human requirements on technology -Usability/comfort/pleasure/cognitive engineering of human-technology interfaces -Anthropometrics/design for people with disabilities -Design of critical systems/equipment for extreme environments -Human performance measurement and modelling -Humans in transportation systems/technologically complex systems -Cognitive ergonomics, information processing, information/multimedia design, expert systems -Acceptability and effectiveness of technology change -Training design, organisational design and psychosocial factors -Management of the complex participation of people in their environment -Human-centred/goal-driven design of technical/organisational systems