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E-ScootAR: Exploring Unimodal Warnings for E-Scooter Riders in Augmented Reality

Matviienko, Andrii ; Müller, Florian ; Schön, Dominik ; Fayard, Régis ; Abaspur, Salar ; Li, Yi ; Mühlhäuser, Max (2022)
E-ScootAR: Exploring Unimodal Warnings for E-Scooter Riders in Augmented Reality.
CHI '22: CHI Conference on Human Factors in Computing Systems. New Orleans, USA (29.04.2022-05.05.2022)
doi: 10.1145/3491101.3519831
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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) notifcations, 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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2022
Autor(en): Matviienko, Andrii ; Müller, Florian ; Schön, Dominik ; Fayard, Régis ; Abaspur, Salar ; Li, Yi ; Mühlhäuser, Max
Art des Eintrags: Bibliographie
Titel: E-ScootAR: Exploring Unimodal Warnings for E-Scooter Riders in Augmented Reality
Sprache: Englisch
Publikationsjahr: 29 April 2022
Verlag: ACM
Buchtitel: CHI’22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
Veranstaltungstitel: CHI '22: CHI Conference on Human Factors in Computing Systems
Veranstaltungsort: New Orleans, USA
Veranstaltungsdatum: 29.04.2022-05.05.2022
DOI: 10.1145/3491101.3519831
Kurzbeschreibung (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) notifcations, 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.

Freie Schlagworte: E-Scooter, micro-mobility, traffic safety, augmented reality
Zusätzliche Informationen:

Art.No.: 406

Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Telekooperation
Hinterlegungsdatum: 23 Jun 2022 09:22
Letzte Änderung: 30 Nov 2022 09:44
PPN: 502161507
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