What does an Automated Vehicle class as a hazard? Using online video-based training to improve drivers’ trust and mental models for activating an Automated Vehicle

One of the arguments in favor for the introduction of Automated Vehicles (AVs) is that they will improve road safety by reducing the frequency and severity of on-road collisions. However, if drivers have a poor mental model for the capabilities and limitations of the automation, they may over-trust and activate the automation in inappropriate road conditions leading to a collision. To address this, an online video-based training program was developed to improve drivers’ mental models for when an AV can be activated, and this was compared to the current AV driver training method (i.e., owner’s manual) in a matched pairs experiment. Drivers were matched on their locus of control, age and gender before reading an owner’s manual (control group) or reading an owner’s manual and undergoing the new online training program (experimental group). Their trust in automation and mental models were measured before and after training. This experiment found that the online training program in combination with an owner’s manual led to a greater improvement in drivers’ mental models for when the automation can be activated compared to the owner’s manual in isolation. Additionally, as both training programs exposed drivers to the limitations of the automation, both training programs reduced drivers’ trust in automation. The online training program can be completed anywhere, at any time and on any device, which makes it highly convenient. Therefore, there could be greater acceptance amongst current licensed drivers who may not be receptive to more training.

• Record URL:
  https://doi.org/10.1016/j.trf.2023.08.005
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1369847823001729
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13698478
• Supplemental Notes:
  • © 2023 The Authors. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Merriman, Siobhan E
  • 0000-0002-0519-687X
  • Revell, Kirsten M A
  • Plant, Katherine L
• Publication Date: 2023-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1-17
• Serial:
  • Transportation Research Part F: Traffic Psychology and Behaviour
  • Volume: 98
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1369-8478
  • Serial URL: http://www.sciencedirect.com/science/journal/13698478

Subject/Index Terms

• TRT Terms: Attitudes; Autonomous vehicles; Computer aided instruction; Driver training; Driver vehicle interfaces; Psychological trust
• Subject Areas: Design; Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01893059
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 13 2023 10:23AM