长期条件自动驾驶对疲劳,生理活动和接管性能的影响:驾驶模拟器实验
Rory Coyne1, Bilal Khan2, Matthew Shiel3
1Department of Health Psychology, RCSI University of Medicine and Health Sciences, School of Population Health, 118 Saint Stephen's Green, Dublin, Leinster, DO2 YN77, Ireland.
Physiological measurement
|February 13, 2026
概括
条件自动驾驶会增加驾驶员的疲劳,影响警和安全. 心率和EEG变化等生理标志物表明疲劳,这表明需要监测系统.
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:
- 司机疲劳是道路交通事故的一个重要因素.
- 条件自动驾驶将驾驶员的角色转变为"备用",需要保持警.
- 有限的研究存在于自动化对驾驶员疲劳的影响.
研究的目的:
- 研究长期条件自动驾驶对驾驶员疲劳的影响.
- 在自动化过程中识别疲劳的生理和行为标记.
主要方法:
- 一个驾驶模拟器实验被用来研究疲劳.
- 测量包括自我报告的疲劳和工作量,生理数据 (EEG,心率) 和接管性能.
- 参与者在自动化和非驾驶任务条件下驾驶.
主要成果:
- 与基线相比,自动驾驶50分钟后,疲劳明显增加.
- 80%的参与者表现出昏昏欲睡的迹象;近一半的人努力保持清醒.
- 生理变化包括心率降低和β功率降低,眼率增加和心率变化.
结论:
- 长时间的自动化会导致驾驶员疲劳,可能会损害安全过渡.
- 自动化过程中的疲劳可能源于自我调节的失败.
- 识别出的生理测量可以作为监控系统的疲劳标记.
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