这就是你在自动驾驶2.0上的大脑:在道路上,部分自动驾驶过程中,练习对驾驶员工作量和参与度的影响。

IF 2.9 3区 心理学 Q1 BEHAVIORAL SCIENCES Human Factors Pub Date : 2024-08-01 Epub Date: 2023-09-26 DOI:10.1177/00187208231201054
Amy S McDonnell, Kaedyn W Crabtree, Joel M Cooper, David L Strayer
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引用次数: 0

摘要

目的:这项道路研究采用行为和神经生理学测量技术来评估驾驶2级部分自动化车辆六周的练习对驾驶员工作量和敬业度的影响。背景:2级部分自动化要求驾驶员保持对车辆的监督控制,以检测自动化设备无法处理的“边缘情况”。关于驾驶员是否能够有效地做到这一点,有各种各样的证据。还有一个悬而未决的问题是,随着时间的推移,对自动化的实践和熟悉程度如何影响驾驶员的认知状态。方法:在为期六周的两次测试中,记录30名参与者对驾驶员工作量和视觉参与的行为和神经生理学测量。在两次测试中,参与者在两条州际高速公路上驾驶部分自动化(2级)和未启用(0级)的车辆,同时记录对检测响应任务(DRT)的反应时间以及额叶θ和顶叶α的神经生理学(EEG)指标。结果:DRT结果表明,部分自动驾驶比手动驾驶给驾驶员带来了更多的认知负荷,六周的练习减少了驾驶员的工作量,尽管只有在驾驶环境相对简单的情况下。额叶θ和顶叶α的脑电图指标显示部分自动化的无效影响。结论:驾驶员的工作量受自动化水平、特定的高速公路特征和长期实践的影响,但仅在行为水平上,而不是在神经水平上。应用:这些发现扩展了我们对2级部分自动化下实践对驾驶员认知状态的影响的理解。
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This Is Your Brain on Autopilot 2.0: The Influence of Practice on Driver Workload and Engagement During On-Road, Partially Automated Driving.

Objective: This on-road study employed behavioral and neurophysiological measurement techniques to assess the influence of six weeks of practice driving a Level 2 partially automated vehicle on driver workload and engagement.

Background: Level 2 partial automation requires a driver to maintain supervisory control of the vehicle to detect "edge cases" that the automation is not equipped to handle. There is mixed evidence regarding whether drivers can do so effectively. There is also an open question regarding how practice and familiarity with automation influence driver cognitive states over time.

Method: Behavioral and neurophysiological measures of driver workload and visual engagement were recorded from 30 participants at two testing sessions-with a six-week familiarization period in-between. At both testing sessions, participants drove a vehicle with partial automation engaged (Level 2) and not engaged (Level 0) on two interstate highways while reaction times to the detection response task (DRT) and neurophysiological (EEG) metrics of frontal theta and parietal alpha were recorded.

Results: DRT results demonstrated that partially automated driving placed more cognitive load on drivers than manual driving and six weeks of practice decreased driver workload-though only when the driving environment was relatively simple. EEG metrics of frontal theta and parietal alpha showed null effects of partial automation.

Conclusion: Driver workload was influenced by level of automation, specific highway characteristics, and by practice over time, but only on a behavioral level and not on a neural level.

Application: These findings expand our understanding of the influence of practice on driver cognitive states under Level 2 partial automation.

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来源期刊
Human Factors
Human Factors 管理科学-行为科学
CiteScore
10.60
自引率
6.10%
发文量
99
审稿时长
6-12 weeks
期刊介绍: Human Factors: The Journal of the Human Factors and Ergonomics Society publishes peer-reviewed scientific studies in human factors/ergonomics that present theoretical and practical advances concerning the relationship between people and technologies, tools, environments, and systems. Papers published in Human Factors leverage fundamental knowledge of human capabilities and limitations – and the basic understanding of cognitive, physical, behavioral, physiological, social, developmental, affective, and motivational aspects of human performance – to yield design principles; enhance training, selection, and communication; and ultimately improve human-system interfaces and sociotechnical systems that lead to safer and more effective outcomes.
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