journal article·2021-12-17Open access

Distraction Potential of Vehicle-Based On-Road Projection

Tobias Glück, Tobias Biermann, Alexander Wolf, Sören Budig, Arved Ziebehl, Marvin Knöchelmann, Roland Lachmayer

Applied Sciences· Volume 11· Issue 24

Abstract

With regard to autonomous driving, on-road projections cannot only be used for communication with the driver but also with other road users. Our study aims to investigate the distraction potential for other road users when on-road projections (e.g., for driver assistance) are used to communicate with the driver of the projecting vehicle. We perform this investigation in a blind study with 38 test persons who are overtaken six times on a constant motorway section by the projection vehicle. The distraction potential is examined with an eye-tracking system, which detects the direction of the subjects’ gaze. In addition, the subjects’ physiological perception of the headlight projection is recorded with a questionnaire afterward. Several test subjects looked at the projection for less than one second, which is well below the critical threshold for the distraction of 1.6 s. In the interviews, on the other hand, only one of the 38 test persons stated that a projection on the road was recognized. For the examined scenario, it is therefore deduced that on-road projections with the selected symbol shape and brightness do not lead to critical distraction.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Human-Automation Interaction and Safety · Safety Warnings and Signage · Gaze Tracking and Assistive Technology

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Product Development, Gottfried Wilhelm Leibniz Universität Hannover, An der Universität 1, 30823 Garbsen, Germany

Cluster of Excellence PhoenixD (Photonics, Optics, and Engineering—Innovation across Disciplines), Welfengarten 1A, 30167 Hannover, Germany

NFDI4Ing—National Research Data Infrastructure for Engineering Sciences, Seffenter Weg 23, 52074 Aachen, Germany

Funding

Cluster of Excellence PhoenixD · NFDI4Ing – National Re-383 search Data Infrastructure for Engineering Sciences

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