1 research outputs found
Evaluating a VR System for Collecting Safety-Critical Vehicle-Pedestrian Interactions
Autonomous vehicles (AVs) require comprehensive and reliable pedestrian
trajectory data to ensure safe operation. However, obtaining data of
safety-critical scenarios such as jaywalking and near-collisions, or uncommon
agents such as children, disabled pedestrians, and vulnerable road users poses
logistical and ethical challenges. This paper evaluates a Virtual Reality (VR)
system designed to collect pedestrian trajectory and body pose data in a
controlled, low-risk environment. We substantiate the usefulness of such a
system through semi-structured interviews with professionals in the AV field,
and validate the effectiveness of the system through two empirical studies: a
first-person user evaluation involving 62 participants, and a third-person
evaluative survey involving 290 respondents. Our findings demonstrate that the
VR-based data collection system elicits realistic responses for capturing
pedestrian data in safety-critical or uncommon vehicle-pedestrian interaction
scenarios.Comment: In submission to CHI 202