Saxby Dyani Juanita, Matthews Gerald, Neubauer Catherine
Medical College of Wisconsin, 8701 W Watertown Plank Rd, Milwaukee WI, 53226, United States.
Institute for Training and Simulation, University of Central Florida, 3100 Technology Pkwy, Orlando, FL 32826, United States.
J Safety Res. 2017 Jun;61:129-140. doi: 10.1016/j.jsr.2017.02.016. Epub 2017 Mar 3.
Voice communication may enhance performance during monotonous, potentially fatiguing driving conditions (Atchley & Chan, 2011); however, it is unclear whether safety benefits of conversation are outweighed by costs. The present study tested whether personalized conversations intended to simulate hands-free cell phone conversation may counter objective and subjective fatigue effects elicited by vehicle automation.
A passive fatigue state (Desmond & Hancock, 2001), characterized by disengagement from the task, was induced using full vehicle automation prior to drivers resuming full control over the driving simulator. A conversation was initiated shortly after reversion to manual control. During the conversation an emergency event occurred.
The fatigue manipulation produced greater task disengagement and slower response to the emergency event, relative to a control condition. Conversation did not mitigate passive fatigue effects; rather, it added worry about matters unrelated to the driving task. Conversation moderately improved vehicle control, as measured by SDLP, but it failed to counter fatigue-induced slowing of braking in response to an emergency event. Finally, conversation appeared to have a hidden danger in that it reduced drivers' insights into performance impairments when in a state of passive fatigue.
Automation induced passive fatigue, indicated by loss of task engagement; yet, simulated cell phone conversation did not counter the subjective automation-induced fatigue. Conversation also failed to counter objective loss of performance (slower braking speed) resulting from automation. Cell phone conversation in passive fatigue states may impair drivers' awareness of their performance deficits. Practical applications: Results suggest that conversation, even using a hands-free device, may not be a safe way to reduce fatigue and increase alertness during transitions from automated to manual vehicle control.
语音交流可能会在单调、潜在疲劳的驾驶条件下提高驾驶表现(阿奇利和陈,2011);然而,尚不清楚对话带来的安全益处是否会被成本所抵消。本研究测试了旨在模拟免提手机通话的个性化对话是否能抵消车辆自动化引发的客观和主观疲劳影响。
在驾驶员恢复对驾驶模拟器的完全控制之前,使用全车辆自动化诱导出一种以脱离任务为特征的被动疲劳状态(德斯蒙德和汉考克,2001)。恢复手动控制后不久开始对话。对话过程中发生了一起紧急事件。
与对照条件相比,疲劳操纵导致了更大程度的任务脱离以及对紧急事件的反应更慢。对话并未减轻被动疲劳影响;相反,它增加了对与驾驶任务无关事项的担忧。通过标准车道偏离标准差(SDLP)衡量,对话适度改善了车辆控制,但未能抵消疲劳导致的紧急事件制动减速。最后,对话似乎存在一个隐患,即它降低了驾驶员在被动疲劳状态下对性能受损的洞察力。
自动化引发了被动疲劳,表现为任务参与度的丧失;然而,模拟手机通话并未抵消自动化引发的主观疲劳。对话也未能抵消自动化导致的性能客观损失(制动速度变慢)。被动疲劳状态下的手机通话可能会损害驾驶员对自身性能缺陷的意识。实际应用:结果表明,即使使用免提设备进行对话,在从自动车辆控制过渡到手动控制期间,也可能不是减少疲劳和提高警觉性的安全方式。