Drive Right: Shaping Public's Trust, Understanding, and Preference Towards Autonomous Vehicles Using a Virtual Reality Driving Simulator
Zhijie Qiao, Xiatao Sun, Helen Loeb, Rahul Mangharam

TL;DR
This paper introduces a virtual reality driving simulator designed to educate the public about autonomous vehicles, effectively increasing understanding and improving attitudes towards the technology through simulated driving scenarios.
Contribution
It presents a low-cost VR platform for autonomous vehicle demonstration and education, validated by a study showing improved understanding and attitudes among participants.
Findings
VR simulator increased participants' understanding of autonomous vehicles
Participants' attitudes towards autonomous systems improved after simulation
The platform is effective for public education and can be used by various stakeholders
Abstract
Autonomous vehicles are increasingly introduced into our lives. Yet, people's misunderstanding and mistrust have become the major obstacles to the use of these technologies. In response to this problem, proper work must be done to increase public's understanding and awareness and help drivers rationally evaluate the system. The method proposed in this paper is a virtual reality driving simulator which serves as a low-cost platform for autonomous vehicle demonstration and education. To test the validity of the platform, we recruited 36 participants and conducted a test training drive using three different scenarios. The results show that our simulator successfully increased participants' understanding while favorably changing their attitude towards the autonomous system. The methodology and findings presented in this paper can be further explored by driving schools, auto manufacturers,…
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Taxonomy
TopicsVirtual Reality Applications and Impacts · Human-Automation Interaction and Safety · Death Anxiety and Social Exclusion
