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학술대회 Investigation on the Effect of Mental Workload on the Time-related Take-over Performance
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김정숙, 김현숙, 김우진, 이승준, 윤대섭
International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1912-1917
20IR1400, 자율주행자동차(SAE 레벨 2,3) 기반 인적요인 심층 연구, 윤대섭
The conditionally automated vehicles require human intervention in case of automatic driving failure. The automated vehicles generate a warning message called a Take-over Request (TOR) to the human driver for switching vehicle control from automation to manual. The take-over performance initiated from the TOR depends on human factors. In this work, we have analyzed the effect of subjective mental workload on the take-over performance in the time-related view. The results showed that the increased subjective mental workload caused the take-over performance impairment. The settling time, which is the time required to stably manipulate the vehicle after the regain of the control from automation, is increased in proportion to the mental workload. Consequently, the total Time Budget to complete the take-over increased. Therefore, the SAE 2nd and 3rd level automatic vehicles need to monitor the drivers' status and induce them to maintain appropriate level of mental workload.
Automated Driving System, Driver's status, HCI, human factor, mental workload, NASA-TLX, SAE level 2 and 3, Take-over, time budget
KSP 제안 키워드
Automated driving, Automated vehicles, Automatic driving, Driving system, Human Factors, Human driver, Level 2, NASA-TLX, Time budget, Vehicle control, human intervention