인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Objective: To investigate the impact of repeated take-over experience in autonomous vehicles on the take-over response times and flow states during non-driving related tasks (NDRTs) of drivers across different age groups.
Background: As autonomous driving technology advances, understanding the dynamics of driver interaction, especially during take-over scenarios, becomes critical. Previous studies have indicated varying response times and flow states during autonomous driving, but few have systematically explored these aspects across different age groups with repeated take-over experiences.
Method: Using a driving simulator, the study compared young and older adult groups undergoing repeated take-over requests while engaged in an NDRT, specifically watching videos, within an autonomous driving context. Take-over response times and flow states with NDRT were measured and compared.
Results: The results showed that repeated take-over experiences significantly improved the response times, particularly for older adults. After multiple take-over experiences, the response time gap between the younger and older adults narrowed significantly. Furthermore, flow states during the NDRT of video watching increased across sessions, with no significant differences observed between age groups.
Conclusion: This study demonstrates that repeated exposure to take-over requests in autonomous driving can improve response times, particularly in older adults, and enhance the flow state during NDRTs. These outcomes emphasize the need to integrate such experiences into autonomous driving training and education, especially for different age groups.
Application: The research provides valuable insights for autonomous vehicle system design and driver education programs, highlighting the necessity for age-specific strategies.
Background: As autonomous driving technology advances, understanding the dynamics of driver interaction, especially during take-over scenarios, becomes critical. Previous studies have indicated varying response times and flow states during autonomous driving, but few have systematically explored these aspects across different age groups with repeated take-over experiences.
Method: Using a driving simulator, the study compared young and older adult groups undergoing repeated take-over requests while engaged in an NDRT, specifically watching videos, within an autonomous driving context. Take-over response times and flow states with NDRT were measured and compared.
Results: The results showed that repeated take-over experiences significantly improved the response times, particularly for older adults. After multiple take-over experiences, the response time gap between the younger and older adults narrowed significantly. Furthermore, flow states during the NDRT of video watching increased across sessions, with no significant differences observed between age groups.
Conclusion: This study demonstrates that repeated exposure to take-over requests in autonomous driving can improve response times, particularly in older adults, and enhance the flow state during NDRTs. These outcomes emphasize the need to integrate such experiences into autonomous driving training and education, especially for different age groups.
Application: The research provides valuable insights for autonomous vehicle system design and driver education programs, highlighting the necessity for age-specific strategies.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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