A Review of Virtual Reality Studies on Autonomous Vehicle--Pedestrian Interaction
March 18, 2024 ยท The Cartographer ยท ๐ IEEE Transactions on Human-Machine Systems
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"Title-pattern auto-detect: A Review of Virtual Reality Studies on Autonomous Vehicle--Pedestrian Interaction"
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Authors
Tram Thi Minh Tran, Callum Parker, Martin Tomitsch
arXiv ID
2403.11378
Category
cs.HC: Human-Computer Interaction
Citations
73
Venue
IEEE Transactions on Human-Machine Systems
Last Checked
7 days ago
Abstract
An increasing number of studies employ virtual reality (VR) to evaluate interactions between autonomous vehicles (AVs) and pedestrians. VR simulators are valued for their cost-effectiveness, flexibility in developing various traffic scenarios, safe conduct of user studies, and acceptable ecological validity. Reviewing the literature between 2010 and 2020, we found 31 empirical studies using VR as a testing apparatus for both implicit and explicit communication. By performing a systematic analysis, we identified current coverage of critical use cases, obtained a comprehensive account of factors influencing pedestrian behavior in simulated traffic scenarios, and assessed evaluation measures. Based on the findings, we present a set of recommendations for implementing VR pedestrian simulators and propose directions for future research.
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