Using Augmented Reality to Mitigate Blind Spots in Trucks

This paper describes the implementation, testing and benchmarking of a new augmented reality prototype that gives drivers simulated direct vision, removing blind spots directly where they are present. Using augmented reality glasses and cameras the authors created a prototype that could effectively make parts of the truck see-through using augmented reality panels in space relative to the truck. The authors compare the performance of this prototype against the current standard European blind-spot mirror solution, in terms of not only judgement errors but also dangerous situations and task loads. The comparison was done on the basis of a within-subject experiment focused on right hand turning. Test results showed significantly fewer judgement errors and dangerous situations for the AR prototype when compared to mirrors, however at the cost of a slightly higher cognitive load and stress. The authors believe this could be caused by a learning curve difference between AR and mirrors for the professional drivers who made up the study participants. Despite the higher loads, participants perceived the AR as covering the blind spots well.

Language

  • English

Media Info

  • Media Type: Web
  • Edition: 1
  • Pagination: pp 379-392
  • Monograph Title: HCI in Mobility, Transport, and Automotive Systems. Automated Driving and In-Vehicle Experience Design: Second International Conference, MobiTAS 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 01884037
  • Record Type: Publication
  • ISBN: 9783030505226
  • Files: TRIS
  • Created Date: May 31 2023 10:16AM