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
23 hours 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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