通过驾驶员状态监控系统缓解昏昏欲睡:一个范围审查
Suzan Ayas1, Birsen Donmez1, Xing Tang1,2
1University of Toronto, Toronto, ON, Canada.
Human factors
|November 20, 2023
概括
驾驶员监控系统 (DMS) 显示出对车载嗜睡干预措施的希望,但研究缺口仍然存在. 未来的研究应该关注驾驶员的互动和对更安全驾驶的长期影响.
科学领域:
- 人与计算机的交互
- 汽车安全 汽车安全
- 认知科学 认知科学
背景情况:
- 驾驶员监控系统 (DMS) 越来越多地用于对抗昏昏欲睡.
- 对于指导驾驶员注意力的DMS的最佳利用仍然不清楚.
研究的目的:
- 对使用DMS的车载嗜睡干预措施的现有研究进行审查.
- 确定该领域的研究缺口.
主要方法:
- 一个系统的范围审查,遵守PRISMA指南.
- 在2022年4月搜索了五个数据库 (ACM,Scopus,IEEE,TRID,SAE).
- 包括使用DMS在驾驶环境中的车载嗜睡干预措施的研究.
主要成果:
- 包括20项研究,主要使用听觉警告 (14/16) 和多阶段干预 (12/20).
- 干预措施对睡眠,驾驶表现和用户评价产生了积极的影响.
- 不同类型的疲劳 (被动式与主动式) 的有效性是不确定的.
结论:
- 目前的研究优先考虑了DMS传感器的开发,而不是驾驶员的交互.
- 需要进行更多的干预研究,特别是研究长期影响的干预研究.
- 识别出的差距和局限性将指导未来的睡眠驾驶安全系统的研究和开发.
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