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职业驾驶员对危险的预测和感知:危险感知技能在安全和不太安全的消防车驾驶员之间是否存在差异?

Prediction and perception of hazards in professional drivers: Does hazard perception skill differ between safe and less-safe fire-appliance drivers?

机构信息

Department of Psychology, School of Social Sciences, Nottingham Trent University, UK.

Department of Psychology, School of Social Sciences, Nottingham Trent University, UK.

出版信息

Accid Anal Prev. 2018 Dec;121:335-346. doi: 10.1016/j.aap.2018.05.013. Epub 2018 May 18.

Abstract

Can hazard perception testing be useful for the emergency services? Previous research has found emergency response drivers' (ERDs) to perform better than controls, however these studies used clips of normal driving. In contrast, the current study filmed footage from a fire-appliance on blue-light training runs through Nottinghamshire, and endeavoured to discriminate between different groups of EDRs based on experience and collision risk. Thirty clips were selected to create two variants of the hazard perception test: a traditional push-button test requiring speeded-responses to hazards, and a prediction test that occludes at hazard onset and provides four possible outcomes for participants to choose between. Three groups of fire-appliance drivers (novices, low-risk experienced and high-risk experienced), and age-matched controls undertook both tests. The hazard perception test only discriminated between controls and all FA drivers, whereas the hazard prediction test was more sensitive, discriminating between high and low-risk experienced fire appliance drivers. Eye movement analyses suggest that the low-risk drivers were better at prioritising the hazardous precursors, leading to better predictive accuracy. These results pave the way for future assessment and training tools to supplement emergency response driver training, while supporting the growing literature that identifies hazard prediction as a more robust measure of driver safety than traditional hazard perception tests.

摘要

危险感知测试对急救服务是否有用?之前的研究发现,应急响应驾驶员(ERD)的表现优于对照组,但这些研究使用的是正常驾驶的片段。相比之下,目前的研究从诺丁汉郡的蓝灯训练中拍摄了消防车的镜头,并试图根据经验和碰撞风险来区分不同的 ERD 群体。选择了 30 个剪辑来创建两种危险感知测试变体:一种是需要对危险做出快速反应的传统按钮测试,另一种是预测测试,在危险发生时遮挡并为参与者提供四种可能的结果供选择。三组消防车驾驶员(新手、低风险经验丰富和高风险经验丰富)和年龄匹配的对照组都进行了这两种测试。危险感知测试仅能区分对照组和所有消防车驾驶员,而危险预测测试则更敏感,能区分高风险和低风险经验丰富的消防车驾驶员。眼动分析表明,低风险驾驶员更善于优先处理危险的前兆,从而提高预测准确性。这些结果为未来的评估和培训工具铺平了道路,以补充应急响应驾驶员培训,同时支持越来越多的文献,这些文献将危险预测确定为比传统危险感知测试更能衡量驾驶员安全的更可靠指标。

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