자율주행 시 비운전 과제 모달리티가 운전자 스트레스 및 운전성능에 미치는 영향 분석Effects of Modalities of Non-driving Related Tasks on Driver's Stress and Driving Performance during Autonomous Driving
- Other Titles
- Effects of Modalities of Non-driving Related Tasks on Driver's Stress and Driving Performance during Autonomous Driving
- Authors
- 권다솔; 정의승
- Issue Date
- 2019
- Publisher
- 대한인간공학회
- Keywords
- Autonomous driving; Non-related driving task; Stress; Task engagement
- Citation
- 대한인간공학회지, v.38, no.3, pp.265 - 277
- Indexed
- KCI
- Journal Title
- 대한인간공학회지
- Volume
- 38
- Number
- 3
- Start Page
- 265
- End Page
- 277
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/131531
- DOI
- 10.5143/JESK.2019.38.3.265
- ISSN
- 1229-1684
- Abstract
- Objective: The aim of driving simulator study is to investigate interactions between driver behaviors and the automated vehicles according to non-driving related tasks modality and traffic density.
Background: With the addition of a greater number of advanced driver assistance systems in vehicles, the driver has an opportunity to have non-driving related tasks during autonomous driving. Understanding the implications of such advancements on driving behaviors and road situations is important for safety.
Method: 20 participants were recruited to measure take-over reaction time, lateral position, and Short Stress State Questionnaire (SSSQ) under different traffic conditions of suggesting NDRT modalities. As well as comparing the effects of traffic complex while doing different NDRT, the effect of NDRT modalities were also investigated.
Results: Traffic density showed minor effects on driving performance and SSSQ results.
However, NDRT modalities have differences: auditory NDRT modalities led to shorter takeover reaction times and higher task engagement.
Conclusion: For the design and evaluation of human-automation interaction in conditionally automated driving systems, NDRT modalities seems to play a major role, compared to the traffic density.
Application: The present results can be used to appropriately design humanautomation interfaces considering NDRT modalities.
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Collections - College of Engineering > School of Industrial and Management Engineering > 1. Journal Articles
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