Presentation
The Impact of Mental States, Scenarios, and Modalities on Informative Takeover Requests in Automated Driving
SessionPoster Session 1
DescriptionPrevious studies indicate that informative takeover requests, which highlight surrounding obstacles, are effective during the takeover process in conditionally automated vehicles. However, it is still unclear whether the effect of such a request still holds under the various traffic situations and mental states that can influence driver behavior. Therefore, this study investigated how mental states (anger, sadness, happiness, mind-wandering, external distraction, fatigue, and attention), scenarios (lane-changing and lane-keeping), and modalities (visual and tactile signals) affect takeover performance through reaction time, decision-making time, and accuracy while adopting informative takeover requests. The results showed lower decision-making accuracy in lane-keeping than in lane-changing scenarios, with tactile signals providing greater accuracy than visual signals. No main effects of mental states were found on reaction, decision-making time, or decision-making accuracy. Overall, the findings may inform the development of advanced human-machine interfaces across different mental states in the automated system.
Event Type
Poster
TimeTuesday, October 14th5:30pm - 6:30pm CDT
LocationRiverside East
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