在操作部分自动化车辆时可靠但多维的认知需求:对现实世界自动化研究的影响
Monika Lohani1, Joel M Cooper2, Amy S McDonnell3
1Department of Psychology, University of Utah, 380 S 1530 E BEHS 1003, Salt Lake City, UT, 84112, USA. monika.lohani@utah.edu.
Cognitive research: principles and implications
|September 10, 2024
概括
这项研究验证了在真实道路上使用部分自动驾驶汽车的司机对认知需求的测量. 心理生理学和行为方法显示可靠的测试-重新测试稳定性来评估驾驶员的参与.
科学领域:
- 人与计算机的交互
- 汽车工程 汽车工程
- 认知心理学 认知心理学
背景情况:
- 认知需求测量的可靠性是在实验室中确立的,但在现实世界,高风险的驾驶中研究不足.
- 部分自动驾驶汽车是常见的,需要可靠的工具来评估驾驶员的认知需求和参与.
- 评估驾驶员参与度对于安全整合先进的汽车技术至关重要.
研究的目的:
- 在现实驾驶条件下检查五种认知需求指标的测试-重新测试可靠性.
- 评估这些措施的稳定性,而参与者在实际的高速公路上操作部分自动化车辆.
- 确定这些措施是否适合未来对自动化和驾驶员参与的研究.
主要方法:
- 71名参与者 (年龄在18-64岁之间) 在四个不同的场合用部分自动驾驶汽车在真正的高速公路上开车.
- 同时测量生理数据:心率,心率变化和电脑电图 (EEG) 的α功率.
- 使用检测响应任务 (DRT) 评估行为表现.
主要成果:
- 电脑电图 (EEG) 的α功率显示出极好的测试可靠性.
- 心率和心率变异性显示出良好的可靠性.
- 检测响应任务 (DRT) 的反应时间和命中率表现出中等的可靠性. 所有的测量都显示出可接受的可靠性.
结论:
- 这项研究证实了在现实世界自动化研究中评估认知需求的精选心理生理和行为测量方法的可靠性.
- 较低的相互关联表明,不同的措施捕捉了认知需求的不同方面.
- 建议采用结合心理生理学和行为学方法的多因素方法,以全面评估现实世界自动化中的认知需求.
相关概念视频
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