Sensitivity of Physiological Measures of Acute Driver Stress: A Meta-Analytic Review

Laora Kerautret, Stéphanie Dabic, J. Navarro
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引用次数: 2

Abstract

Background: The link between driving performance impairment and driver stress is well-established. Identifying and understanding driver stress is therefore of major interest in terms of safety. Although many studies have examined various physiological measures to identify driver stress, none of these has as yet been definitively confirmed as offering definitive all-round validity in practice. Aims: Based on the data available in the literature, our main goal was to provide a quantitative assessment of the sensitivity of the physiological measures used to identify driver stress. The secondary goal was to assess the influence of individual factors (i.e., characteristics of the driver) and ambient factors (i.e., characteristics of the context) on driver stress. Age and gender were investigated as individual factors. Ambient factors were considered through the experimental apparatus (real-road vs. driving simulator), automation driving (manual driving vs. fully autonomous driving) and stressor exposure duration (short vs. long-term). Method: Nine meta-analyses were conducted to quantify the changes in each physiological measure during high-stress vs. low-stress driving. Meta-regressions and subgroup analyses were performed to assess the moderating effect of individual and ambient factors on driver stress. Results: Changes in stress responses suggest that several measures are sensitive to levels of driver stress, including heart rate, R-R intervals (RRI) and pupil diameter. No influence of individual and ambient factors was observed for heart rate. Applications and Perspective: These results provide an initial guide to researchers and practitioners when selecting physiological measures for quantifying driver stress. Based on the results, it is recommended that future research and practice use (i) multiple physiological measures, (ii) a triangulation-based methodology (combination of measurement modalities), and (iii) a multifactorial approach (analysis of the interaction of stressors and moderators).
急性驾驶压力生理测量的敏感性:荟萃分析综述
背景:驾驶表现障碍和驾驶员压力之间的联系是公认的。因此,识别和理解驾驶员的压力对安全至关重要。尽管许多研究已经检验了各种生理测量方法来识别驾驶员压力,但这些方法都没有在实践中得到明确的全面证实。目的:基于文献中可用的数据,我们的主要目标是提供用于识别驾驶员压力的生理测量灵敏度的定量评估。第二个目标是评估个体因素(即驾驶员的特征)和环境因素(即上下文的特征)对驾驶员压力的影响。年龄和性别作为个体因素进行调查。环境因素通过实验设备(真实道路vs驾驶模拟器)、自动驾驶(手动驾驶vs全自动驾驶)和应激源暴露时间(短期vs长期)来考虑。方法:进行了九项荟萃分析,以量化高应激与低应激驾驶期间各项生理指标的变化。采用meta回归和亚组分析来评估个体和环境因素对驾驶员应激的调节作用。结果:应激反应的变化表明,有几种指标对驾驶员应激水平敏感,包括心率、R-R间隔(RRI)和瞳孔直径。没有观察到个人和环境因素对心率的影响。应用与展望:这些结果为研究人员和从业人员选择量化驾驶压力的生理指标提供了初步指导。基于结果,建议未来的研究和实践使用(i)多种生理测量,(ii)基于三角测量的方法(测量模式的组合),以及(iii)多因素方法(分析压力源和调节因子的相互作用)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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