Revealing driver psychophysiological response to emergency braking in distracted driving based on field experiments

Ying Li;Li Zhao;Kun Gao;Yisheng An;Jelena Andric
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引用次数: 3

Abstract

Purpose - The purpose of this paper is to characterize distracted driving by quantifying the response time and response intensity to an emergency stop using the driver's physiological states. Design/methodology/approach - Field tests with 17 participants were conducted in the connected and automated vehicle test field. All participants were required to prioritize their primary driving tasks while a secondary nondriving task was asked to be executed. Demographic data, vehicle trajectory data and various physiological data were recorded through a biosignalsplux signal data acquisition toolkit, such as electrocardiograph for heart rate, electromyography for muscle strength, electrodermal activity for skin conductance and force-sensing resistor for braking pressure. Findings - This study quantified the psychophysiological responses of the driver who returns to the primary driving task from the secondary nondriving task when an emergency occurs. The results provided a prototype analysis of the time required for making a decision in the context of advanced driver assistance systems or for rebuilding the situational awareness in future automated vehicles when a driver's take-over maneuver is needed. Originality/value - The hypothesis is that the secondary task will result in a higher mental workload and a prolonged reaction time. Therefore, the driver states in distracted driving are significantly different than in regular driving, the physiological signal improves measuring the brake response time and distraction levels and brake intensity can be expressed as functions of driver demographics. To the best of the authors' knowledge, this is the first study using psychophysiological measures to quantify a driver's response to an emergency stop during distracted driving.
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基于现场实验揭示驾驶员在分心驾驶中对紧急制动的心理生理反应
目的——本文的目的是通过量化驾驶员的生理状态对紧急停车的反应时间和反应强度来表征分心驾驶。设计/方法/方法-在联网和自动化车辆测试领域进行了17名参与者的现场测试。所有参与者都被要求优先考虑他们的主要驾驶任务,同时要求执行次要的非驾驶任务。人口统计数据、车辆轨迹数据和各种生理数据通过biosignalsplux信号数据采集工具包记录,如心率心电图仪、肌肉力量肌电图、皮肤电导皮肤电活动和制动压力力传感电阻器。研究结果-这项研究量化了紧急情况发生时,从次要非驾驶任务返回主要驾驶任务的驾驶员的心理生理反应。该结果提供了在高级驾驶员辅助系统的背景下做出决策所需时间的原型分析,或在未来需要驾驶员接管机动时重建自动车辆中的态势感知所需时间。独创性/价值-假设次要任务会导致更高的心理工作量和更长的反应时间。因此,分心驾驶中的驾驶员状态与正常驾驶中的状态显著不同,生理信号改善了制动响应时间和分心水平的测量,制动强度可以表示为驾驶员人口统计的函数。据作者所知,这是第一项使用心理生理学测量来量化分心驾驶期间驾驶员对紧急停车的反应的研究。
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Front Cover Contents Advancements and Prospects in Multisensor Fusion for Autonomous Driving Extracting Networkwide Road Segment Location, Direction, and Turning Movement Rules From Global Positioning System Vehicle Trajectory Data for Macrosimulation Decision Making and Control of Autonomous Vehicles Under the Condition of Front Vehicle Sideslip
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