Identifying outcome measures to evaluate effectiveness of consumer education and training for vehicle automation

Auto manufacturers are making advanced vehicle technologies readily available - from current Advanced Driver Assistance Systems (ADAS) to promises of Automated Driving Systems (ADS) (SAE 2018) soon. These technologies are designed to improve convenience and safety (Bengler et al, 2014; Friedrich, 2016). To reap these benefits, it is important that drivers use the systems appropriately, i.e., as intended, during appropriate situations, in appropriate environments, and with clear and accurate knowledge about what the systems can and cannot do. Thus, there is significant interest in examining the impact of advanced vehicle technologies on drivers. There are multiple contemporary research efforts being undertaken to better understand the benefits, risks, and human factors issues arising from these technologies. One common and critical objective of these undertakings is to better understand how users’ understanding and use of the systems can be improved, and what approaches, such as training or education, can help in accelerating users’ understanding of vehicle technologies. Users’ knowledge can be examined by studying driver behaviors, driver knowledge, driving outcomes, and other outcome measures. Approaches to do so use methods ranging from survey instruments and driver observations to crash records. While some approaches and methods of measurements may help gauge a user’s knowledge, they are not necessarily ideal for studying drivers’ actual use of and interaction with the systems. In addition, while crashes are the ultimate measure of safety, they are rare. Identification of measures that can bridge the gap between subjective measures and rare crashes will be essential for understanding effectiveness of training or education interventions.

Language

• English

Project

• Status: Active
• Funding: $75000
• Sponsor Organizations:

  AAA Foundation for Traffic Safety

  607 14th Street, NW
  Washington, DC  United States  2005

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Start Date: 20220901
• Expected Completion Date: 20240630
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Driver support systems; Education and training; Highway safety
• Subject Areas: Education and Training; Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01884364
• Record Type: Research project
• Source Agency: Safety Research Using Simulation University Transportation Center (SaferSim)
• Files: UTC, RIP
• Created Date: May 31 2023 5:32PM