Individual differences predict drivers hazard perception skills

D. Barragan, Yi-Ching Lee
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引用次数: 3

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.
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个体差异预测驾驶员的危险感知能力
检测危险驾驶场景已被证明受到驾驶体验、冒险或风险感知以及视觉搜索的影响。鉴于结果在很大程度上是喜忧参半的,了解哪些个体差异会影响驾驶员的危险感知能力是很重要的。在美国各地招募的三百九十八名司机参加了一项在线研究,他们完成了一项危险感知视频任务、两项视觉感知任务和调查。对一个潜在的结构方程模型进行了评估,发现视觉感知技能和交通法规知识可以预测危险感知技能。与许多现有文献不同,驾驶经验和风险感知并不能预测危险感知技能。此外,潜在结构方程中介模型的结果表明,驾驶经验并不能中介危险感知技能和交通法知识之间的关系。这些结果可能有助于重新设计训练计划,并针对最易受影响的个人来降低撞车风险。
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来源期刊
International Journal of Human Factors and Ergonomics
International Journal of Human Factors and Ergonomics Social Sciences-Human Factors and Ergonomics
CiteScore
1.10
自引率
0.00%
发文量
21
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
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