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.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.2
- 수록면
- 45 - 53 (9page)
- DOI
- 10.5143/JESK.2021.40.1.45
이용수
초록· 키워드
오류제보하기
Objective: The aim of this study is to investigate driver’s gaze fixation and takeover performance according to difficulty of a non-driving related task (NDRT).
Background: NDRT has significant effect on driver’s behavior in an automated vehicle. When NDRT is being performed, it is impossible for drivers to react immediately to takeover request. The more driver is engaged on NDRT, the less takeover performance will be. Therefore, it is necessary to identify which factors cause drivers to shift their gaze to NDRT. There might be many factors that attract driver’s gaze, but in this paper, we will identify driver’s gaze fixation and takeover performance with NDRT difficulty.
Method: To investigate effects of NDRT difficulty on driver’s gaze fixation and takeover performance, experiment was conducted through a driving simulator. NDRT difficulty was classified by 5 levels. The participants performed five trials depending on difficulty levels. During the experiments, fixation duration and eyes-on time was measured by eye-tracker and takeover time was recorded through driving simulator.
Results: First, NDRT difficult has a significant effect on driver’s fixation during autonomous driving. As considering %fixation duration, driver’s gaze was fixated longer in the first and fifth level of difficulty than others. Also, there was a significant effect on takeover time. In the fifth level of difficulty, takeover time was longer than other levels of difficulty. However, eyes-on-time was constant depending on NDRT difficulty.
Conclusion: NDRT difficult has a significant effect on driver’s gaze fixation and takeover performance. %fixation duration and takeover time represented a u-shape depending on NDRT difficulty.
Application: The results of the study could be utilized in in-vehicle infotainment of automated vehicles. This results make interaction between humans and automated vehicles much better.
Background: NDRT has significant effect on driver’s behavior in an automated vehicle. When NDRT is being performed, it is impossible for drivers to react immediately to takeover request. The more driver is engaged on NDRT, the less takeover performance will be. Therefore, it is necessary to identify which factors cause drivers to shift their gaze to NDRT. There might be many factors that attract driver’s gaze, but in this paper, we will identify driver’s gaze fixation and takeover performance with NDRT difficulty.
Method: To investigate effects of NDRT difficulty on driver’s gaze fixation and takeover performance, experiment was conducted through a driving simulator. NDRT difficulty was classified by 5 levels. The participants performed five trials depending on difficulty levels. During the experiments, fixation duration and eyes-on time was measured by eye-tracker and takeover time was recorded through driving simulator.
Results: First, NDRT difficult has a significant effect on driver’s fixation during autonomous driving. As considering %fixation duration, driver’s gaze was fixated longer in the first and fifth level of difficulty than others. Also, there was a significant effect on takeover time. In the fifth level of difficulty, takeover time was longer than other levels of difficulty. However, eyes-on-time was constant depending on NDRT difficulty.
Conclusion: NDRT difficult has a significant effect on driver’s gaze fixation and takeover performance. %fixation duration and takeover time represented a u-shape depending on NDRT difficulty.
Application: The results of the study could be utilized in in-vehicle infotainment of automated vehicles. This results make interaction between humans and automated vehicles much better.
목차
1. Introduction
2. Method
3. Results
4. Discussion
5. Conclusion
References
참고문헌 (24)
참고문헌 신청
Adler, R. F. / 2013 / Self-interruptions in discretionary multitasking / Computers in Human Behavior 29(4):1441~1449
Bueno, M. / 2016 / How different mental workload levels affect the take-over control after automated driving / 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) :2040~2045
Carsten, O. / 2012 / Control task substitution in semiautomated driving: Does it matter what aspects are automated? / Human Factors 54(5):747~761
Chen, H. Y. W. / 2018 / Voluntary-and involuntary-distraction engagement: an exploratory study of individual differences / Human Factors 60(4):575~588
De Winter, J. C. / 2014 / Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence / Transportation Research Part F: Traffic Psychology and Behaviour 27:196~217
Bueno, M. / 2016 / How different mental workload levels affect the take-over control after automated driving / 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) :2040~2045
Carsten, O. / 2012 / Control task substitution in semiautomated driving: Does it matter what aspects are automated? / Human Factors 54(5):747~761
Chen, H. Y. W. / 2018 / Voluntary-and involuntary-distraction engagement: an exploratory study of individual differences / Human Factors 60(4):575~588
De Winter, J. C. / 2014 / Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence / Transportation Research Part F: Traffic Psychology and Behaviour 27:196~217
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