sCARy! Risk Perceptions in Autonomous Driving: The Influence of Experience on Perceived Benefits and Barriers

This article reports on a study undertaken to identify relevant risk factors for autonomous and connected driving and to assess attitudes and risk perceptions toward these innovative technologies. The authors conducted focus groups (total participants, n = 17), then developed an online questionnaire and fielded it to participants identified as representative for the German population (n = 516). The survey asked about three driving technologies (connected, autonomous, conventional) which were then evaluated via a rating scale used to identify connotative meaning of technologies. Participants were also asked to rate perceived risk levels (for data, traffic environment, vehicle, and passenger) and perceived benefits and barriers of connected/autonomous driving. The authors separated responses into three experience groups and analyzed the effect of experience on benefits and barrier perceptions. Results showed that risk perceptions were significantly smaller for conventional driving compared to connected/autonomous driving. However, in those respondents with increased experience with autonomous vehicle technologies, risk perception decreased with one exception: the perceived risk in collecting and handling data (privacy and control issues). The authors conclude with a brief discussion of how their findings can assist with public information strategies and thus successful implementation of automated vehicles.

• Record URL:
  https://doi.org/10.1111/risa.13190
• Record URL:
  https://onlinelibrary.wiley.com/doi/abs/10.1111/risa.13190
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/02724332
• Authors:
  • Brell, Teresa
  • Philipsen, Ralf
  • Ziefle, Martina
• Publication Date: 2019-2

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 342-357
• Serial:
  • Risk Analysis
  • Volume: 39
  • Issue Number: 2
  • Publisher: Society for Risk Analysis
  • ISSN: 0272-4332
  • Serial URL: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1539-6924

Subject/Index Terms

• TRT Terms: Acceptance; Attitudes; Autonomous vehicles; Connected vehicles; Risk assessment; Risk taking; Technological innovations; User benefits; Vehicle safety
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01714542
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 23 2019 5:02PM