Users’ Understanding of Automated Vehicles and Perception to Improve Traffic Safety –Results from a National Survey

AAA Foundation for Traffic Safety · 2019 · AAA Foundation for Traffic Safety

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Summary

This study addresses the public’s understanding of automated vehicles (AVs) and the sources of distrust regarding these technologies. While AVs are deployed for their potential to reduce crashes, empirical evidence of safety benefits remains inconclusive, and public unease persists. The AAA Foundation for Traffic Safety conducted a nationwide survey to assess people’s understanding of AVs, their expectations and concerns, and the rationales behind their distrust. The research employed a three-phase methodology: pre-survey focus groups, a national survey, and post-survey follow-up interviews. Focus groups in Texas and Maryland helped develop the questionnaire and a video explaining SAE automation levels. The survey was administered as part of the 2018 Traffic Safety Culture Index to a nationally representative sample of 3,349 respondents (ages 16+) via an online panel. Analysis focused on 2,582 licensed drivers who had driven in the past 30 days. Post-survey interviews with 93 respondents provided qualitative insights into specific concerns. Results indicated that 68% of respondents reported a very good or excellent understanding of AV levels after viewing the explanatory video. Respondents perceived higher levels of automation (Levels 4–5) as more effective than lower levels (Levels 2–3) in preventing crashes caused by dangerous behaviors like distracted or drowsy driving. However, trust in AVs for crash prevention decreased as automation levels increased; nearly 30% strongly distrusted Level 5 vehicles, compared to only 6% for Level 2. Concerns also escalated with automation level, with technology malfunction being the primary worry across all levels. Other significant concerns included over-reliance on technology, vehicle hacking, and confusion about when to take control. Qualitative interviews revealed that distrust stemmed from unfamiliarity, perceived unreliability, negative media coverage, and fears that AVs could not handle all crash scenarios or ethical decisions. Notably, trust in Level 5 AVs increased as respondents’ understanding of the technology improved. The study concludes that while the public recognizes the potential safety benefits of full automation, current distrust is driven by perceived unreliability and lack of rigorous testing. The findings highlight the need for safer, more reliable technology and emphasize the critical role of public education and awareness. Improving public understanding of AV capabilities and limitations is essential to increasing trust and facilitating the safe adoption of these technologies.

Key finding

Americans trusted lower AV automation levels more for crash prevention but perceived higher levels as more effective against risky driving behaviors, with fully automated Level 5 drawing the greatest distrust despite greater perceived effectiveness; trust in higher automation increased as respondents' understanding of the technology increased.

Methodology

mixed_methods

Sample size: 2582

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