TU Darmstadt / ULB / TUbiblio

QuantiBike: Quantifying Perceived Cyclists' Safety via Head Movements in Virtual Reality and Outdoors

Matviienko, Andrii ; Lehé, Manuel ; Heller, Florian ; Pfleging, Bastian ; Mühlhäuser, Max (2023)
QuantiBike: Quantifying Perceived Cyclists' Safety via Head Movements in Virtual Reality and Outdoors.
11th ACM Symposium on Spatial User Interaction. Sydney, Australia (13.10.2023 - 15.102023)
doi: 10.1145/3607822.3614532
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

The current level of road safety for cyclists is estimated mainly based on police reports and self-reports collected during surveys. However, the former focuses on post-accident situations, while the latter is based on subjective perception and focuses only on road sections. This work builds the foundation to automatically assess perceived cyclists’ safety by analyzing their head movements. In an indoor experiment (N = 12) using a Virtual Reality bicycle simulator, we discovered that perceived safety correlates with head rotation frequency and duration but not with head rotation angles. Based on this, we implemented a novel and minimalistic approach to detect head movements based on sensor data from Apple AirPods and an iPhone and conducted an outdoor experiment (N = 8). Our results indicate that perceived safety correlates with head rotation frequency and duration only at uncontrolled intersections when turning left and does not necessarily apply to all situations.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2023
Autor(en): Matviienko, Andrii ; Lehé, Manuel ; Heller, Florian ; Pfleging, Bastian ; Mühlhäuser, Max
Art des Eintrags: Bibliographie
Titel: QuantiBike: Quantifying Perceived Cyclists' Safety via Head Movements in Virtual Reality and Outdoors
Sprache: Englisch
Publikationsjahr: 13 Oktober 2023
Verlag: ACM
Buchtitel: SUI '23: Proceedings of the 2023 ACM Symposium on Spatial User Interaction
Kollation: 12 Seiten
Veranstaltungstitel: 11th ACM Symposium on Spatial User Interaction
Veranstaltungsort: Sydney, Australia
Veranstaltungsdatum: 13.10.2023 - 15.102023
DOI: 10.1145/3607822.3614532
Kurzbeschreibung (Abstract):

The current level of road safety for cyclists is estimated mainly based on police reports and self-reports collected during surveys. However, the former focuses on post-accident situations, while the latter is based on subjective perception and focuses only on road sections. This work builds the foundation to automatically assess perceived cyclists’ safety by analyzing their head movements. In an indoor experiment (N = 12) using a Virtual Reality bicycle simulator, we discovered that perceived safety correlates with head rotation frequency and duration but not with head rotation angles. Based on this, we implemented a novel and minimalistic approach to detect head movements based on sensor data from Apple AirPods and an iPhone and conducted an outdoor experiment (N = 8). Our results indicate that perceived safety correlates with head rotation frequency and duration only at uncontrolled intersections when turning left and does not necessarily apply to all situations.

ID-Nummer: Article-ID: 27
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Telekooperation
Hinterlegungsdatum: 13 Nov 2024 11:51
Letzte Änderung: 13 Nov 2024 11:51
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen