E-ScootAR: Exploring Unimodal Warnings for E-Scooter Riders in Augmented Reality
Matviienko, Andrii and Müller, Florian and Schön, Dominik and Fayard, Régis and Abaspur, Salar and Li, Yi and Mühlhäuser, Max
Abstract: Micro-mobility is becoming a more popular means of transportation. However, this increased popularity brings its challenges. In particular, the accident rates for E-Scooter riders increase, which endangers the riders and other road users. In this paper, we explore the idea of augmenting E-Scooters with unimodal warnings to prevent collisions with other road users, which include Augmented Reality (AR) notifications, vibrotactile feedback on the handlebar, and auditory signals in the AR glasses. We conducted an outdoor experiment (N = 13) using an Augmented Reality simulation and compared these types of warnings in terms of reaction time, accident rate, and feeling of safety. Our results indicate that AR and auditory warnings lead to shorter reaction times, have a better perception, and create a better feeling of safety than vibrotactile warnings. Moreover, auditory signals have a higher acceptance by the riders compared to the other two types of warnings.
@inproceedings{matviienkoEScootARExploringUnimodal2022,title={E-{{ScootAR}}: {{Exploring Unimodal Warnings}} for {{E-Scooter Riders}} in {{Augmented Reality}}},shorttitle={E-{{ScootAR}}},booktitle={Extended {{Abstracts}} of the 2022 {{CHI Conference}} on {{Human Factors}} in {{Computing Systems}}},author={Matviienko, Andrii and M{\"u}ller, Florian and Sch{\"o}n, Dominik and Fayard, R{\'e}gis and Abaspur, Salar and Li, Yi and M{\"u}hlh{\"a}user, Max},year={2022},month=apr,series={{{CHI EA}} '22},pages={1--7},publisher={Association for Computing Machinery},address={New York, NY, USA},doi={10.1145/3491101.3519831},urldate={2024-01-09},isbn={978-1-4503-9156-6},keywords={augmented reality,E-Scooter,micro-mobility,traffic safety},}
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