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
- 2020.6
- 수록면
- 169 - 178 (10page)
- DOI
- 10.5143/JESK.2020.39.3.169
이용수
초록· 키워드
오류제보하기
Objective: The aim of this study is to investigate the effect of Takeover request lead time (TORlt) on several measures of workload and dissociation among the measures.
Background: Autonomous driving has received considerable attention and takeover request (TOR) is one of the major issues in autonomous driving. A human driver must be ready to transfer the control of the vehicle when TOR is given. Therefore, it is important how and when to request driver to transfer the control. In this regard, TORlt have received great attention and there are many existing scholarly works about effect of TORlt on takeover performance. Inappropriate TORlt make driver overload or underload and the abnormal workload deteriorate driver performance in takeover situation.
Method: Experiment with driving simulator was conducted. TORlt was controlled in 7 levels (3s, 7s, 10s, 15s, 30s, 45s, 60s) and driver workload was measured by both subjective and physiological methods. Driving Activity Load Index (DALI) was conducted to measure subjective workload and respiration rate (RSP), heart rate (HR), and galvanic skin response (GSR) was used to measure objective workload.
Results: TORlt had a significant effect on subjective workload. The result of subjective workload showed that workload and TORlt has a negative relationship. There was also a significant effect of TORlt on GSR. GSR was increased as TORlt increased because of frustration that made by long TORlt. On the other hand, there were no significant effects of TORlt on respiration rate and heart rate.
Conclusion: As the workload changes according to TORlt, TORlt is an important factor to be considered in takeover situation. Moreover, multiple measures of workload should be used to investigate workload in takeover situation because there is dissociation among measures.
Application: Workload could be used to evaluate takeover performance of drivers. The results of this paper suggest multiple measures including subjective methods and physiological signals be used to assess driver performance in takeover situation.
Background: Autonomous driving has received considerable attention and takeover request (TOR) is one of the major issues in autonomous driving. A human driver must be ready to transfer the control of the vehicle when TOR is given. Therefore, it is important how and when to request driver to transfer the control. In this regard, TORlt have received great attention and there are many existing scholarly works about effect of TORlt on takeover performance. Inappropriate TORlt make driver overload or underload and the abnormal workload deteriorate driver performance in takeover situation.
Method: Experiment with driving simulator was conducted. TORlt was controlled in 7 levels (3s, 7s, 10s, 15s, 30s, 45s, 60s) and driver workload was measured by both subjective and physiological methods. Driving Activity Load Index (DALI) was conducted to measure subjective workload and respiration rate (RSP), heart rate (HR), and galvanic skin response (GSR) was used to measure objective workload.
Results: TORlt had a significant effect on subjective workload. The result of subjective workload showed that workload and TORlt has a negative relationship. There was also a significant effect of TORlt on GSR. GSR was increased as TORlt increased because of frustration that made by long TORlt. On the other hand, there were no significant effects of TORlt on respiration rate and heart rate.
Conclusion: As the workload changes according to TORlt, TORlt is an important factor to be considered in takeover situation. Moreover, multiple measures of workload should be used to investigate workload in takeover situation because there is dissociation among measures.
Application: Workload could be used to evaluate takeover performance of drivers. The results of this paper suggest multiple measures including subjective methods and physiological signals be used to assess driver performance in takeover situation.
목차
1. Introduction
2. Method
3. Results
4. Discussion
5. Conclusion
References
참고문헌 (29)
참고문헌 신청
Abe, G. / 2004 / The effect of alarm timing on driver behaviour: an investigation of differences in driver trust and response to alarms according to alarm timing / Transportation Research Part F: Traffic Psychology and Behaviour 7(4-5):307~322
Abe, G. / 2005 / The influence of alarm timing on braking response and driver trust in low speed driving / Safety Science 43(9):639~654
Bazilinskyy, P. / 2018 / Take-over requests in highly automated driving: A crowdsourcing survey on auditory, vibrotactile, and visual displays / Transportation Research Part F: Traffic Psychology and Behaviour 56:82~98
Brookhuis, K. A. / 2010 / Monitoring drivers' mental workload in driving simulators using physiological measures / Accident Analysis & Prevention 42(3):898~903
Cho, H. S. / 2013 / 2010 Traffic Congestion Costs: Estimation and Trend Analysis :1~102
Abe, G. / 2005 / The influence of alarm timing on braking response and driver trust in low speed driving / Safety Science 43(9):639~654
Bazilinskyy, P. / 2018 / Take-over requests in highly automated driving: A crowdsourcing survey on auditory, vibrotactile, and visual displays / Transportation Research Part F: Traffic Psychology and Behaviour 56:82~98
Brookhuis, K. A. / 2010 / Monitoring drivers' mental workload in driving simulators using physiological measures / Accident Analysis & Prevention 42(3):898~903
Cho, H. S. / 2013 / 2010 Traffic Congestion Costs: Estimation and Trend Analysis :1~102
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UCI(KEPA) : I410-ECN-0101-2020-530-000841402