1. Driver Logo Sign Detection and Hazard Responses during Partially Automated Driving
- Author
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Yulin Deng, Yunmei Liu, David B. Kaber, Jing Feng, Stephen J. Cauffman, and Christopher M. Cunningham
- Subjects
Sign detection ,Hazard (logic) ,Computer science ,business.industry ,05 social sciences ,Logo ,050105 experimental psychology ,Medical Terminology ,0501 psychology and cognitive sciences ,Computer vision ,Artificial intelligence ,business ,human activities ,050107 human factors ,Medical Assisting and Transcription - Abstract
This study investigates the presentation of service logo information under partially automated driving. Drivers completed simulated drives with partial automation during which they had to detect target logo signs and react to hazards by taking over vehicle control when needed. Driver performance was measured in terms of sign detection rate, crash rate, and hazard response time. A number of factors, including sign information source, sign information load, and driver age group, were investigated. In general, our findings support the delivery of service logo information via in-vehicle display under partially automated driving, especially when the in-vehicle display occurred simultaneously with the on-road signage. Under this presentation condition, drivers were most accurate in detecting target logo signs, and showed little impairment from processing sign information as a secondary task when negotiating a hazard. Implications of the findings and future directions were discussed.
- Published
- 2020
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