Indicating the Limits of Partially Automated Vehicles with Drivers’ Peripheral Vision: An Online Study

Automated systems of partially automated vehicles are able to perform the driving task, but can give back the driver all controls in specific conditions. This study aimed to evaluate the effectiveness of an Indicator of Proximity to the Limits of Assistance (IPLA) to anticipate transitions of control. The study was performed online, presenting videos representing situations in which assistance deactivated. A classical interface was compared to an IPLA dedicated to peripheral vision. Participants decided which action to perform. The results revealed that the participants who had the IPLA performed more actions before the system deactivated and expressed greater psychological comfort than the participants with the classic interface. The participants with the IPLA performed less appropriated actions and the IPLA was rated as more cognitively demanding. These results highlight the pertinence of integrating an IPLA dedicated to peripheral vision, but should not encourage the driver to deactivate assistance when not necessary.

• Record URL:
  https://doi.org/10.1007/978-3-030-80012-3
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9783030800116
• Supplemental Notes:
  • © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.
• Corporate Authors:

  Springer Cham

  Gewerbestrasse 11
  Cham,   Germany 
• Authors:
  • Monsaingeon, Noé
  • Carli, Yanna
  • Caroux, Loïc
  • Langlois, Sabine
  • Lemercier, Céline
• Conference:
  • Virtual Conference on Human Aspects of Transportation (AHFE 2021)
  • Date: 2021-7-25 to 2021-7-29
• Publication Date: 2021-6

Language

• English

Media Info

• Media Type: Web
• Edition: 1st Edition
• Features: References;
• Pagination: pp 78-85
• Monograph Title: Advances in Human Aspects of Transportation: Proceedings of the AHFE 2021 Virtual Conference on Human Aspects of Transportation, July 25-29, 2021, USA
• Serial:
  • Lecture Notes in Networks and Systems
  • Volume: 270
  • Publisher: Springer Cham
  • ISSN: 2367-3370
  • Serial URL: https://www.springer.com/series/15179

Subject/Index Terms

• TRT Terms: Autonomous vehicle handover; Autonomous vehicles; Human machine systems; Peripheral vision
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01873126
• Record Type: Publication
• ISBN: 9783030800116
• Files: TRIS
• Created Date: Feb 14 2023 9:29AM