Using Augmented Reality to Mitigate Blind Spots in Trucks

Dan Roland Persson*, Valentino Servizi, Tanja Lind Hansen, Per Bækgaard

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

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 we created a prototype that could effectively make parts of the truck see-through using augmented reality panels in space relative to the truck. We 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. We believe this could be caused by a learning curve difference between AR and mirrors for the professional drivers who made up our study participants. Despite the higher loads, participants perceived the AR as covering the blind spots well.

Original languageEnglish
Title of host publicationHCI in Mobility, Transport, and Automotive Systems. Automated Driving and In-Vehicle Experience Design
EditorsH. Krömker
PublisherSpringer
Publication date2020
Pages379-392
ISBN (Print)978-3-030-50522-6
DOIs
Publication statusPublished - 2020
Event22nd International Conference on Human-Computer Interaction - Virtual event, Copenhagen, Denmark
Duration: 19 Jul 202024 Jul 2020
http://2020.hci.international/

Conference

Conference22nd International Conference on Human-Computer Interaction
LocationVirtual event
Country/TerritoryDenmark
CityCopenhagen
Period19/07/202024/07/2020
Internet address
SeriesLecture Notes in Computer Science
Volume12212
ISSN0302-9743

Keywords

  • Augmented reality
  • Truck blind spots
  • User experience
  • Performance benchmarking
  • Human-computer interaction

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