“Driver Take Over”: A Preliminary Exploration of Driver Trust and Performance in Autonomous Vehicles
Automated vehicles are becoming more prominent in research and development. These automated vehicles introduce issues that have been seen in other autonomous systems such as decreases in situation awareness, complacency, and trust. Previous literature has looked at the effects of alerts and voice agents on driving performance. This preliminary study compares different in-car alerts (no alert, sound alert, task irrelevant voice alert, and task relevant voice alert) on trust and the driver’s ability to get back in-the-loop when the automation has failed. Participants were asked to monitor a simulated automated vehicle as it drove down a straight two-lane road. The main statistical results of the authors' study show no difference in trust between the four different conditions; however, more participants avoided collision with a leading car in the task relevant voice condition in comparison to the three other conditions. These preliminary findings have important implications for the design of automated vehicles.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/15419312
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Supplemental Notes:
- © 2017 Human Factors and Ergonomics Society.
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Authors:
- Hester, Michelle
- Lee, Kevin
- Dyre, Brian P
- Publication Date: 2017-9
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 1969-1973
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Serial:
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting
- Volume: 61
- Issue Number: 1
- Publisher: Sage Publications, Incorporated
- ISSN: 2169-5067
- EISSN: 1071-1813
- Serial URL: http://journals.sagepub.com/home/pro
Subject/Index Terms
- TRT Terms: Audible warning devices in vehicles; Autonomous vehicle handover; Autonomous vehicles; Drivers; Level 3 driving automation; Psychological trust
- Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01735176
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 30 2020 12:35PM