Using Augmented Reality to Mitigate Blind Spots in Trucks

被引:1
|
作者
Persson, Dan Roland [1 ]
Servizi, Valentino [2 ]
Hansen, Tanja Lind [1 ]
Baekgaard, Per [1 ]
机构
[1] Tech Univ Denmark, Dept Appl Math & Comp Sci, Lyngby, Denmark
[2] Tech Univ Denmark, Machine Learning Smart Mobil Grp, Lyngby, Denmark
来源
HCI IN MOBILITY, TRANSPORT, AND AUTOMOTIVE SYSTEMS. AUTOMATED DRIVING AND IN-VEHICLE EXPERIENCE DESIGN, MOBITAS 2020, PT I | 2020年 / 12212卷
关键词
Augmented reality; Truck blind spots; User experience; Performance benchmarking; Human-computer interaction; COGNITIVE LOAD; DISPLAY; SYSTEM;
D O I
10.1007/978-3-030-50523-3_27
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:379 / 392
页数:14
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