Lohani Monika, Cooper Joel M, Erickson Gus G, Simmons Trent G, McDonnell Amy S, Carriero Amanda E, Crabtree Kaedyn W, Strayer David L
Department of Educational Psychology, University of Utah, Salt Lake City, UT, United States.
Department of Psychology, University of Utah, Salt Lake City, UT, United States.
Front Neurosci. 2021 Jun 10;15:577418. doi: 10.3389/fnins.2021.577418. eCollection 2021.
Partial driving automation is not always reliable and requires that drivers maintain readiness to take over control and manually operate the vehicle. Little is known about differences in drivers' arousal and cognitive demands under partial automation and how it may make it difficult for drivers to transition from automated to manual modes. This research examined whether there are differences in drivers' arousal and cognitive demands during manual versus partial automation driving.
We compared arousal (using heart rate) and cognitive demands (using the root mean square of successive differences in normal heartbeats; RMSSD, and Detection Response Task; DRT) while 39 younger ( = 28.82 years) and 32 late-middle-aged ( = 52.72 years) participants drove four partially automated vehicles (Cadillac, Nissan Rogue, Tesla, and Volvo) on interstate highways. If compared to manual driving, drivers' arousal and cognitive demands were different under partial automation, then corresponding differences in heart rate, RMSSD, and DRT would be expected. Alternatively, if drivers' arousal and cognitive demands were similar in manual and partially automated driving, no difference in the two driving modes would be expected.
Results suggest no significant differences in heart rate, RMSSD, or DRT reaction time performance between manual and partially automated modes of driving for either younger or late-middle-aged adults across the four test vehicles. A Bayes Factor analysis suggested that heart rate, RMSSD, and DRT data showed extreme evidence in favor of the null hypothesis.
This novel study conducted on real roads with a representative sample provides important evidence of no difference in arousal and cognitive demands. Younger and late-middle-aged motorists who are new to partial automation are able to maintain arousal and cognitive demands comparable to manual driving while using the partially automated technology. Drivers who are more experienced with partially automated technology may respond differently than those with limited prior experience.
部分驾驶自动化并不总是可靠的,需要驾驶员随时准备好接管控制权并手动操作车辆。对于部分自动化状态下驾驶员的唤醒水平和认知需求差异,以及这可能如何使驾驶员难以从自动模式转换到手动模式,我们知之甚少。本研究考察了在手动驾驶与部分自动化驾驶过程中,驾驶员的唤醒水平和认知需求是否存在差异。
我们比较了39名年轻参与者(平均年龄=28.82岁)和32名中老年参与者(平均年龄=52.72岁)在州际公路上驾驶四辆部分自动化车辆(凯迪拉克、日产奇骏、特斯拉和沃尔沃)时的唤醒水平(使用心率)和认知需求(使用正常心跳连续差值的均方根;RMSSD,以及检测反应任务;DRT)。如果与手动驾驶相比,部分自动化状态下驾驶员的唤醒水平和认知需求不同,那么心率、RMSSD和DRT将会出现相应差异。或者,如果手动驾驶和部分自动化驾驶中驾驶员的唤醒水平和认知需求相似,那么预计两种驾驶模式不会有差异。
结果表明,对于年轻或中老年成年人,在四辆测试车辆的手动驾驶和部分自动化驾驶模式之间,心率、RMSSD或DRT反应时间表现均无显著差异。贝叶斯因子分析表明,心率、RMSSD和DRT数据显示出强烈支持零假设的证据。
这项在真实道路上对具有代表性样本进行的新研究提供了重要证据,表明唤醒水平和认知需求没有差异。初次接触部分自动化的年轻和中老年驾驶者在使用部分自动化技术时,能够保持与手动驾驶相当的唤醒水平和认知需求。对部分自动化技术经验更丰富的驾驶员可能与先前经验有限的驾驶员反应不同。