E-ScootAR: Exploring Unimodal Warnings for E-Scooter Riders in Augmented RealityShow others and affiliations
2022 (English)In: CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery (ACM) , 2022, article id 406Conference paper, Published paper (Refereed)
Abstract [en]
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.
Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2022. article id 406
Keywords [en]
augmented reality, E-Scooter, micro-mobility, traffic safety
National Category
Vehicle and Aerospace Engineering Infrastructure Engineering
Identifiers
URN: urn:nbn:se:kth:diva-335640DOI: 10.1145/3491101.3519831Scopus ID: 2-s2.0-85129720480OAI: oai:DiVA.org:kth-335640DiVA, id: diva2:1795018
Conference
2022 CHI Conference on Human Factors in Computing Systems, CHI EA 2022, Virtual, Online, United States of America, Apr 30 2022 - May 5 2022
Note
Part of ISBN 9781450391566
QC 20230907
2023-09-072023-09-072025-02-14Bibliographically approved