Using Human-Machine Interfaces to Convey Feedback in Automated Vehicles

The next decade will see a rapid increase in the prevalence of partial and conditional vehicle automation, specifically SAE Levels 2 and 3. These automated systems are designed for specific operational conditions, such as driving on mapped highways with clear lane markings, and, within these defined contexts, can control both the speed and the lateral lane position of the vehicle. In these levels of automation, the driver is expected to act as the fallback in situations that exceed the operational capacity of the automation or during unexpected automation failures. A human-machine interface (HMI) that can both keep the driver aware of the driving situation and vehicle state and effectively ease control transitions is therefore very important. This study investigated how aspects of the vehicle HMI design, specifically feedback provided about the confidence of the automation and presentation of non-driving secondary tasks, influenced aspects of the takeover process. The results demonstrate the complexity of reengaging a disengaged driver in the context of partially automated vehicles.

• Dataset URL:
  https://doi.org/10.7910/DVN/QOH1LZ
• 
• Record URL:
  http://safersim.nads-sc.uiowa.edu/final_reports/UI%201%20Y2%20report.pdf
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/62006
• 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/QOH1LZ.
• Corporate Authors:

  Safety Research Using Simulation University Transportation Center (SaferSim)

  University of Iowa
  Iowa City, IA  United States  52242

  University of Iowa

  Iowa City, IA  United States 

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Shull, Emily
  • 0000-0002-3184-8018
  • Gaspar, John G
  • 0000-0003-1106-2488
  • Schmitt, Rose
  • 0000-0002-8712-975X
  • Vecera, Shaun
  • 0000-0002-6623-1106
• Publication Date: 2019-10

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 43p

Subject/Index Terms

• TRT Terms: Advanced driver information systems; Automation; Autonomous vehicles; Feedback control; Human machine systems
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01726579
• Record Type: Publication
• Contract Numbers: 69A3551747131
• Files: UTC, NTL, TRIS, ATRI, USDOT
• Created Date: Dec 23 2019 5:15PM