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
- 학술대회자료
- 저자정보
- 발행연도
- 2011.5
- 수록면
- 59 - 63 (5page)
이용수
초록· 키워드
오류제보하기
Objective: The aim of this study is to investigate the relations between the drivers" subjective workload characteristics and their driving behaviors. Background: The advances of technologies have led to the development of various systems which provide driving convenience and entertainment to the drivers. These systems provide driving safety and convenience to drivers. However, the usages of these systems possibly increase the traffic accident due to drivers’ distraction. Method: Thirty subjects were participated in this experiment. They are all male. They were asked to fill in the DWPT which is composed of 29 questions to predict drivers’ subjective driving workload by ETRI and CBNU. They were also asked to fill in questionnaire about drivers’ past driving experiences including car accidents before conducting the simulator experiment and then the RSME questionnaire after completing the experiment. Results: The driver group experienced in a traffic accident scored higher "Drivers" Risk-taking Tendency" than non-experienced group. And they had more reported the number of traffic accident as a perpetrator. The relation of drivers’ workload(RSME) and their driving behaviors(performance time, indicator operation time etc.) was positive correlation in the U-turn task. Conclusion: As aresult of this study, we need to analyze the cause of the accident for the driver group experienced in a traffic accident whether they are perpetrator or not. In addition, we can predict that drivers" workload may vary depending on the driving tasks. Application: This result will be applied to the development of the system for drivers" workload estimating and management system.
목차
ABSTRACT
1. Introduction
2. Method
3. Results
4. Conclusion
Acknowledgements
References
Author listings
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UCI(KEPA) : I410-ECN-0101-2013-530-001644108