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BikeAR: Understanding Cyclists’ Crossing Decision-Making at Uncontrolled Intersections using Augmented Reality

2022-05-04 @ 14:45 15:00 UTC -05:00

Cycling has become increasingly popular as a means of transportation. However, cyclists remain a highly vulnerable group of road users. According to accident reports, one of the most dangerous situations for cyclists are uncontrolled intersections, where cars approach from both directions. To address this issue and assist cyclists in crossing decision-making at uncontrolled intersections, we designed two visualizations that: (1) highlight occluded cars through an X-ray vision and (2) depict the remaining time the intersection is safe to cross via a Countdown. To investigate the efficiency of these visualizations, we proposed an Augmented Reality simulation as a novel evaluation method, in which the above visualizations are represented as AR, and conducted a controlled experiment with 24 participants indoors. We found that the X-ray ensures a fast selection of shorter gaps between cars, while the Countdown facilitates a feeling of safety and provides a better intersection overview.


14:45 – 15:00 UTC -05:00
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Andrii Matviienko (Technical University of Darmstadt), Florian Müller (LMU Munich), Dominik Schön (Technical University of Darmstadt), Paul Seesemann (Technical University of Darmstadt), Sebastian Günther (Technical University of Darmstadt), Max Mühlhäuser (Technical University of Darmstadt)

Room: 386