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The Effects of Age, Gender, and Situational Factors on Take-Over Performance in Automated Driving

연령, 성별 및 상황적 요인이 자율주행 제어권 전환 수행도에 미치는 영향

  • Received : 2022.11.21
  • Accepted : 2022.11.30
  • Published : 2022.12.31

Abstract

This paper investigates the effects of age, gender, and situational factors on take-over performance in automated driving. The existing automated driving systems still consider a driver as a fallback-ready user who is receptive to take-over requests. Thus, we need to understand the impact of situations and human factors on take-over performance. 34 drivers drove on a simulated track, consisting of one baseline and four event scenarios. The data, including the brake reaction time and the standard deviation of lane position, and physiological data, including the heart rate and skin conductance, were collected. The analysis was performed using repeated-measures ANOVA. The results showed that there were significant age, gender, and situational differences in the takeover performance and mental workload. Findings from this study indicated that older drivers may face risks due to their degraded driving performance, and female drivers may have a negative experience on automated driving.

Keywords

Acknowledgement

본 연구는 산업통산자원부의 자율주행기술개발혁신사업(과제명: 지정구역기반 Point to Point 이동 Lv.4 승합차급 자율주행 차량플랫폼 기술개발, 과제번호: 20014361)의 연구비 지원 및 과학기술정보통신부 DGIST 기관고유사업(과제번호: 22-BT-01)의 연구비지원에 의해 수행되었습니다.

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