Drivers who have higher levels of hazard perception skill also tend to have fewer crashes. Training designed to improve this skill has therefore been proposed as a strategy for reducing crash risk. To date, however, hazard perception training has only been evaluated in supervised settings. This means that improvements in hazard perception skill resulting from such training may not generalize to unsupervised situations, which may limit opportunities for large scale roll-out via automated delivery methods. In the present study, we investigated whether a brief video-based training intervention could improve hazard perception skill when drivers completed it online without supervision. The training involved drivers watching videos of traffic scenes, while generating a commentary of what they were searching for, monitoring, and anticipating in each scene. Drivers then compared their own commentary to a pre-recorded commentary generated by an expert driver, hence allowing for performance feedback without an instructor present. A convenience sample of 93 drivers (who did not receive any performance-related incentives) participated in a randomized control study. The training was found to significantly improve response times to hazards in stimuli from the official hazard perception test used for driver licensing in Queensland, Australia, which is known to predict crash involvement. That is, the training was effective in improving hazard perception skill (Cohen’s d = 0.50), even though participants were aware that no one was monitoring the extent to which they engaged in the intervention. Given that the training could, in principle, be deployed at scale with minimal resources (e.g. via any online platform that allows video streaming), the intervention may represent a practical and effective opportunity to improve road safety.

具有较高危险感知技能水平的驾驶员也往往较少发生事故。因此，已经提出了旨在提高该技能的培训，作为降低碰撞风险的策略。但是，迄今为止，危害感知培训仅在有监督的环境中进行了评估。这意味着，由此类培训导致的危害感知技能的提高可能不会推广到无人监督的情况，这可能会限制通过自动交付方法进行大规模推广的机会。在本研究中，我们调查了简短的基于视频的培训干预措施是否可以提高驾驶员在无人看管的情况下在线完成危害感知技能。培训内容包括：驾驶员观看交通场景视频，同时对他们要搜索的内容，监视，并期待每个场景。然后，驾驶员将他们自己的评论与专家驾驶员生成的预先录制的评论进行比较，从而无需教师在场即可获得性能反馈。方便样本的93名驾驶员（未获得任何与绩效相关的激励措施）参加了一项随机对照研究。在澳大利亚昆士兰州用于驾驶执照的官方危害感知测试中，该培训被发现可以显着提高对刺激危害的响应时间，已知该测试可预测撞车事故的发生。也就是说，该培训有效地提高了危害感知技能（方便样本的93名驾驶员（未获得任何与绩效相关的激励措施）参加了一项随机对照研究。在澳大利亚昆士兰州用于驾驶执照的官方危害感知测试中，该培训被发现可显着改善对刺激危害的响应时间，该测试可预测撞车事故。也就是说，该培训有效地提高了危害感知技能（方便样本的93名驾驶员（未获得任何与绩效相关的激励措施）参加了一项随机对照研究。在澳大利亚昆士兰州用于驾驶执照的官方危害感知测试中，该培训被发现可以显着提高对刺激危害的响应时间，已知该测试可预测撞车事故的发生。也就是说，该培训有效地提高了危害感知技能（ 即使参与者知道没有人监视他们进行干预的程度，科恩的d = 0.50）。鉴于原则上可以以最少的资源大规模部署培训（例如，通过允许视频流传输的任何在线平台），因此干预措施可能是提高道路安全性的实际有效机会。