Chirles Theresa J, Ehsani Johnathon P, Kinnear Neale, Seymour Karen E
Center for Injury Research and Prevention, Bloomberg School of Public Health, Health Policy and Management Department, Johns Hopkins University, Baltimore, MD, United States.
Transportation Research Laboratory, Wokingham, United Kingdom.
Front Psychol. 2021 Mar 25;12:619104. doi: 10.3389/fpsyg.2021.619104. eCollection 2021.
: While advanced driver assistance technologies have the potential to increase safety, there is concern that driver inattention resulting from overreliance on these features may result in crashes. Driver monitoring technologies to assess a driver's state may be one solution. The purpose of this study was to replicate and extend the research on physiological responses to common driving hazards and examine how these may differ based on driving experience. : Learner and Licensed drivers viewed a Driving Hazard Perception Task while electrodermal activity (EDA) was measured. The task presented 30 Event (hazard develops) and 30 Non-Event (routine driving) videos. A skin conductance response (SCR) score was calculated for each participant based on the percentage of videos that elicited an SCR. : Analysis of the SCR score during Event videos revealed a medium effect ( = 0.61) of group differences, whereby Licensed drivers were more likely to have an SCR than Learner drivers. Interaction effects revealed Licensed drivers were more likely to have an SCR earlier in the Event videos compared to the end, and the Learner drivers were more likely to have an SCR earlier in the Non-Event videos compared to the end. : Our results support the viability of using SCR during driving videos as a marker of hazard anticipation differing based on experience. The interaction effects may illustrate situational awareness in licensed drivers and deficiencies in sustained vigilance among learner drivers. The findings demand further examination if physiological measures are to be validated as a tool to inform driver potential performance in an increasingly automated driving environment.
虽然先进的驾驶辅助技术有可能提高安全性，但人们担心过度依赖这些功能导致的驾驶员注意力不集中可能会引发撞车事故。评估驾驶员状态的驾驶员监测技术可能是一种解决方案。本研究的目的是重复并扩展关于对常见驾驶危险的生理反应的研究，并研究这些反应如何因驾驶经验而异。学习者和有执照的驾驶员在测量皮肤电活动（EDA）时观看了驾驶危险感知任务。该任务展示了30个事件（危险出现）视频和30个非事件（常规驾驶）视频。根据引发皮肤电导反应（SCR）的视频百分比为每个参与者计算SCR分数。对事件视频期间的SCR分数分析显示，组间差异有中等效应（=0.61），即有执照的驾驶员比学习者驾驶员更有可能出现SCR。交互效应显示，与结束时相比，有执照的驾驶员在事件视频开始时更有可能出现SCR，而学习者驾驶员在非事件视频开始时比结束时更有可能出现SCR。我们的结果支持在驾驶视频中使用SCR作为基于经验的危险预期标志的可行性。交互效应可能说明了有执照驾驶员的情境意识和学习者驾驶员持续警惕性的不足。如果要将生理测量方法验证为一种在日益自动化的驾驶环境中告知驾驶员潜在性能的工具，这些发现需要进一步研究。
