Drive Right: Autonomous Vehicle Education through an Integrated Simulation Platform

Zhijie Qiao, Helen Loeb, Venkata Gurrla, Matt Lebermann, Johannes Betz, Rahul Mangharam

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish
JournalSAE International Journal of Connected and Automated Vehicles
Volume5
Issue number4
DOIs
StatePublished - 13 Apr 2022
Externally publishedYes

Keywords

  • Autonomous driving
  • Education
  • Human factor
  • Simulation

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