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How Intuitive is AR-Based Navigation to Find Virtual Stops in Demand Responsive Transportation? Results from an Explorative User Study

Hub, Fabian und Wilbrink, Marc und Oehl, Michael (2025) How Intuitive is AR-Based Navigation to Find Virtual Stops in Demand Responsive Transportation? Results from an Explorative User Study. In: 27th International Conference on Human-Computer Interaction, HCII 2025. HCI International 2025, 2025-06-22 - 2025-06-27, Göteborg. doi: 10.1007/978-3-031-94165-8_28. ISBN 978-303194149-8. ISSN 1865-0929.

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Kurzfassung

In pooled demand responsive transportation (DRT), the utilization of virtual stops (vStops) balances travel convenience and operational efficiency. Users book rides via smartphone applications and are required to walk to the designated pick-up location in a timely manner to board the shuttle. Given that these flexible vStops lack physical cues, it is imperative that a human-machine interface (HMI) provides clear and efficient information to users to reach the vStop. The innovative vStop HMI concept presents navigation information in reference to the street environment through augmented reality (AR) to address this challenge. However, the question arises whether this AR-based HMI is sufficiently intuitive for first time users. Consequently, an explorative user study (N = 44) was conducted in a virtual reality setting, comparing naïve users to those given a detailed explanation of the vStop HMI. The study examined usability, learnability, and workload subjectively, as well as HMI usage behavior in a navigation task objectively. Results revealed no significant differences between the two groups, successfully demonstrating the intuitiveness of the AR-based HMI. Whereas the informed group followed the pathway uniformly, the naïve group also showed deviant behavior. In conclusion, this explorative user study gives practical implications for the implementation of AR-based HMIs in stop-based DRT scenarios, particularly for novice users, contributing to the advancement of future mobility systems.

elib-URL des Eintrags:https://elib.dlr.de/215127/
Dokumentart:Konferenzbeitrag (Poster)
Titel:How Intuitive is AR-Based Navigation to Find Virtual Stops in Demand Responsive Transportation? Results from an Explorative User Study
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Hub, FabianFabian.Hub (at) dlr.dehttps://orcid.org/0000-0002-1313-7300NICHT SPEZIFIZIERT
Wilbrink, Marcmarc.wilbrink (at) dlr.dehttps://orcid.org/0000-0002-7550-8613NICHT SPEZIFIZIERT
Oehl, MichaelMichael.Oehl (at) dlr.dehttps://orcid.org/0000-0002-0871-2286NICHT SPEZIFIZIERT
Datum:30 Mai 2025
Erschienen in:27th International Conference on Human-Computer Interaction, HCII 2025
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Nein
DOI:10.1007/978-3-031-94165-8_28
ISSN:1865-0929
ISBN:978-303194149-8
Status:veröffentlicht
Stichwörter:Augmented Reality, Virtual Stop, Human-Machine Interface, User Study, Virtual Reality Study Demand Responsive Transportation
Veranstaltungstitel:HCI International 2025
Veranstaltungsort:Göteborg
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:22 Juni 2025
Veranstaltungsende:27 Juni 2025
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Straßenverkehr
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V ST Straßenverkehr
DLR - Teilgebiet (Projekt, Vorhaben):V - ACT4Transformation - Automated and Connected Technologies for Mobility Transformation
Standort: Berlin-Adlershof , Braunschweig
Institute & Einrichtungen:Institut für Verkehrssystemtechnik > Kooperative Straßenfahrzeuge und Systeme
Hinterlegt von: Hub, Fabian
Hinterlegt am:21 Jul 2025 11:24
Letzte Änderung:21 Jul 2025 11:24

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