Drive Right: Promoting Autonomous Vehicle Education Through an Integrated Simulation Platform
Zhijie Qiao, Helen Loeb, Venkata Gurrla, Matt Lebermann, Johannes, Betz, Rahul Mangharam

TL;DR
This study evaluates an integrated driving simulator platform's effectiveness in educating the public about autonomous vehicles, aiming to reduce perceived risks and increase trust in AV technology.
Contribution
It introduces a novel simulation platform and demonstrates its effectiveness in improving public understanding and trust in autonomous vehicles.
Findings
Simulator reduces perceived risk of AVs
Simulator increases perceived usefulness of AVs
Participants' trust in AVs improves after simulation
Abstract
Autonomous vehicles (AVs) are being rapidly introduced into our lives. However, public misunderstanding and mistrust have become prominent issues hindering the acceptance of these driverless technologies. The primary objective of this study is to evaluate the effectiveness of a driving simulator to help the public gain an understanding of AVs and build trust in them. To achieve this aim, we built an integrated simulation platform, designed various driving scenarios, and recruited 28 participants for the experiment. The study results indicate that a driving simulator effectively decreases the participants' perceived risk of AVs and increases perceived usefulness. The proposed methodologies and findings of this study can be further explored by auto manufacturers and policymakers to provide user-friendly AV design.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
