Communicating Awareness and Intent in Autonomous Vehicle-Pedestrian Interaction
summary
A participatory design yields 34 candidate interfaces and leads to four prototypes implemented on a Segway and a car; 20 participants (10 indoor Segway, 10 outdoor car) run Wizard-of-Oz trials. Results show interfaces improve crossing decisions for three of four designs, intent signals matter slightly more than awareness, and multimodal cues across vehicle, street, and pedestrian work best. Continuous human-like gaze performs poorly; discrete cues outperform eye gaze. Studies flag overreliance risk and call for scaling to many pedestrians and vehicles.
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chapters (10)
- 0:00Context and definitions
- 1:24Challenges of autonomy
- 2:12Proposed interface concepts
- 2:30Exploring design gaps
- 3:17Participatory design study
- 4:05Design findings and prototypes
- 8:38Study platforms and setups
- 9:13Experimental results
- 10:27Design considerations
- 17:20Future work and conclusions
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