Presentation
Studying Situational Awareness-Specific Feedback in Improving In-Vehicle Visualization
SessionPoster Session 1
DescriptionAutonomous vehicles (AVs) promise to enhance safety and transform transportation. However, their widespread adoption faces challenges due to limited public trust and acceptance. Research suggests that sharing AVs' situational understanding with passengers can calibrate user trust and acceptance, highlighting the importance of AI explainability and transparency. Currently, AVs typically communicate their scene comprehension through in-vehicle visualizations of navigation, traffic entities, and explanations of driving decisions. However, passengers may require varying levels of feedback depending on traffic scenario complexity and their own scene understandings. This study systematically investigates how different levels of situational awareness (SA) in AV feedback affect user trust, acceptance, and satisfaction, given different levels of scene complexities during pedestrian interactions. Specifically, it addresses two research questions: (1) How do changes in SA levels of AV feedback impact passenger trust and user experience? (2) How does traffic environment complexity influence the appropriate SA level in AV feedback?
Event Type
Poster
TimeTuesday, October 14th5:30pm - 6:30pm CDT
LocationRiverside East
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