Cognitive Underpinnings of Beliefs and Confidence in Beliefs about Fully Automated Vehicles

Details

• Creators:
  Sanbonmatsu, David M. ; Strayer, David L. ; Yu, Zhenghui ; Biondi, Francesco ; Cooper, Joel
• Corporate Creators:
  Mountain-Plains Consortium
• Corporate Contributors:
  University of Utah ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
• Subject/TRT Terms:
  • Attitudes
  • Autonomous vehicles
  • Cognition
  • Consumer preferences
  • Consumers
  • Knowledge
  • Trust (Psychology)
• Publication/ Report Number:
  MPC 19-388
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final report
• Corporate Publisher:
  Mountain-Plains Consortium
• Abstract:
  A study investigated the cognitive underpinnings of consumers’ beliefs and confidence in their beliefs about fully automated vehicles. Following previous research, opinions about self-driving cars tended to be mixed. The most negative views were held by consumers who had the least knowledge of self-driving cars. Low trust in technology was also associated with more negative views. Although consumers were generally confident in their views of self-driving cars, many were uninformed about them. Consumers’ confidence in their beliefs about self-driving cars was more strongly correlated with perceived knowledge and general confidence than real expertise. Thus, consumers’ confidence in their opinions about fully automated vehicles appears to be driven by largely superfluous cognitions. A mediation analysis suggests that general self-confidence influences judgmental confidence by affecting perceived judgment relevant knowledge. Participants’ confidence in negative beliefs about fully automated vehicles suggests their opinions will not be easily influenced via persuasion.
• Format:
  PDF
• Funding:
  MPC-467
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/42965/dot_42965_DS1.pdf
• File Type:
  [PDF - 702.20 KB]
• Collection(s):
  Autonomous Vehicles ; University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:4ddeb092e23ca88d7d86bf38b4b5e363c0655996713a378e1830a77fa9584d88f8170bd9d10015e857c89c5d3d6e1b67a647874138b3ea06c42b5b6619371c62