To Trust or Not to Trust? A Simulation-based Experimental Paradigm

The automated driving system is expected to enhance traffic safety and flow; however, the system will not be as effective if users do not accept it or do not utilize it appropriately. Appropriate acceptance and use of technology depends on attributes such as perceived risk, mental workload, self-confidence, and appropriate level of trust that matches system performance. An inappropriate level of trust in the technology, whether it is over-trust or undertrust, would negatively affect the benefits of that technology. Based on the literature, trust is a dynamic construct that consists of an initial or dispositional trust that is shaped before experiencing the system performance and a history-based trust that constantly changes with user experience of the system. This study first reviews the history of research on humans’ trust in automation and the factors that are correlated with trust. It also provides a brief overview of some previous models of trust in automation. Then, based on the gaps in the literature, a simulator-based experiment is proposed to further study the factors affecting initial or dispositioned trust and history-based trust. The results of this study are expected to help better understand drivers’ trust in automated vehicles and help enhance human-automation interaction models.

• Dataset URL:
  https://doi.org/10.7910/DVN/QLZVFJ
• Record URL:
  http://safersim.nads-sc.uiowa.edu/final_reports/UM%202%20Y1_FinalReport.pdf
• 
• Dataset URL:
  https://rosap.ntl.bts.gov/view/dot/42480
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/42280
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program. Supporting datasets available at: https://doi.org/10.7910/DVN/QLZVFJ; https://rosap.ntl.bts.gov/view/dot/42480
• Corporate Authors:

  Safety Research Using Simulation University Transportation Center (SaferSim)

  University of Iowa
  Iowa City, IA  United States  52242

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Knodler Jr, Michael
  • 0000-0002-6517-4066
  • Christofa, Eleni
  • 0000-0002-8740-5558
  • Hajiseyedjavadi, Foroogh
  • 0000-0003-3448-1239
  • Tainter, Francis
  • 0000-0003-0180-6113
  • Campbell, Nicholas
  • 0000-0001-7076-6835
• Publication Date: 2018-8

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 32p

Subject/Index Terms

• TRT Terms: Attitudes; Behavior; Drivers; Human machine systems; Intelligent vehicles; Traffic safety
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01695284
• Record Type: Publication
• Contract Numbers: 69A3551747131
• Files: UTC, NTL, TRIS, ATRI, USDOT
• Created Date: Feb 21 2019 9:49AM