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
- 2021.4
- 수록면
- 65 - 73 (9page)
- DOI
- 10.5143/JESK.2021.40.2.65
이용수
초록· 키워드
오류제보하기
Objective: The aim of this study is to investigate the effect of self-interruption during NDRT on takeover performance.
Background: As autonomous driving technology developing, the role of human driver becomes a passive passenger in an automated vehicle. Drivers would perform non-driving related tasks instead of driving, especially multitasking. During performing NDRTs, driver might switch between various tasks by self-interruption. However, most of studies did not considered multitasking as NDRTs. In this study, experiment considering self-interruption is conducted and investigate effects of self-interruption on takeover performance.
Method: To investigate effects of self-interruption to takeover performance, experiment using driving simulator was conducted. The experiment consists of three trials depending on types of NDRT. Watching a short video was selected as a NDRT. There were three conditions of NDRT according to self-interruption. One had no self-interruption and others had. Self-interruption was caused by an advertisement for three seconds in the middle of a video. Drivers performed monitoring or smartphone in each conditions with self-interruption.
Results: Takeover performance was measured by road-fixation time and takeover time. There was no statistically significant difference for road-fixation time depending on self-interruption. However, self-interruption has a significant effect on takeover time. Takeover time was shorter if there was a self-interruption during NDRT. Also, it was more effective to use a smartphone during self-interruption.
Conclusion: Self-interruption during NDRT makes takeover performance better. Takeover time was better in the condition with self-interruption, especially performing smartphone.
Application: Generating self-interruption during autonomous driving has a positive impact on takeover performance. This results could be utilized in designing in-vehicle devices and make interaction between drivers and vehicles more active.
Background: As autonomous driving technology developing, the role of human driver becomes a passive passenger in an automated vehicle. Drivers would perform non-driving related tasks instead of driving, especially multitasking. During performing NDRTs, driver might switch between various tasks by self-interruption. However, most of studies did not considered multitasking as NDRTs. In this study, experiment considering self-interruption is conducted and investigate effects of self-interruption on takeover performance.
Method: To investigate effects of self-interruption to takeover performance, experiment using driving simulator was conducted. The experiment consists of three trials depending on types of NDRT. Watching a short video was selected as a NDRT. There were three conditions of NDRT according to self-interruption. One had no self-interruption and others had. Self-interruption was caused by an advertisement for three seconds in the middle of a video. Drivers performed monitoring or smartphone in each conditions with self-interruption.
Results: Takeover performance was measured by road-fixation time and takeover time. There was no statistically significant difference for road-fixation time depending on self-interruption. However, self-interruption has a significant effect on takeover time. Takeover time was shorter if there was a self-interruption during NDRT. Also, it was more effective to use a smartphone during self-interruption.
Conclusion: Self-interruption during NDRT makes takeover performance better. Takeover time was better in the condition with self-interruption, especially performing smartphone.
Application: Generating self-interruption during autonomous driving has a positive impact on takeover performance. This results could be utilized in designing in-vehicle devices and make interaction between drivers and vehicles more active.
목차
1. Introduction
2. Method
3. Results
4. Discussion
5. Conclusion
References
참고문헌 (25)
참고문헌 신청
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
Calderwood, C. / 2014 / What else do college students "do" while studying? An investigation of multitasking / Computers & Education 75:19~29
Capallera, M. / 2019 / Secondary task and situation awareness, a mobile application for conditionally automated vehicles / Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings :86~92
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
Calderwood, C. / 2014 / What else do college students "do" while studying? An investigation of multitasking / Computers & Education 75:19~29
Capallera, M. / 2019 / Secondary task and situation awareness, a mobile application for conditionally automated vehicles / Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings :86~92
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
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