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Using an AR-interface for efficient navigation to DRT pick-up locations: a naturalistic field study

Hub, Fabian und Meyer-Arlt, Till und Avsar, Hüseyin und Oehl, Michael (2022) Using an AR-interface for efficient navigation to DRT pick-up locations: a naturalistic field study. In: 64th TeaP - Tagung experimentell arbeitender Psycholog:innen. TeaP 2022, 2022-03-20 - 2022-03-23, Köln.

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Kurzfassung

Shared automated mobility on-demand (SAMOD) is considered as a conven-ient mobility solution in the future. Once the user books a fare via smartphone, the DRT service algorithms set up a pick-up location spontaneously. The user then walks to the flexible meeting point and waits for the shuttle. Here, the users’ main challenge is to navigate and to identify effortlessly the virtual pick-up loca-tion, which has no references in the real world. To achieve high user acceptance of new automated mobility services, providing customers with an intuitive infor-mation system is essential. Especially, when navigating to flexible pick-up loca-tions users must be provided with high user experience. Our developed human-machine interface (HMI) prototype addresses this challenge by using means of augmented reality (AR). It provides users with information in reference to the street environment. This should ensure users’ high rates of pragmatic quality and low rates of cognitive workload when solving the task. A naturalistic real-life exposure study was conducted with 23 young adults. Almost everybody experi-enced smartphone navigation for pedestrians (e.g., Google Maps) before and more than half of the participants experienced AR before. Participants were asked to navigate to a pick-up location in unfamiliar territory. Participants were guided by the AR-HMI prototype through an urban setting and a building. They had to solve the task within a given time frame. Cognitive workload and UX of the prototype were captured. The VRAP prototype provided positive UX espe-cially in terms of high pragmatic quality to the participants. Furthermore, cogni-tive workload was low. Results showed the positive perception of AR-navigation. Implications for application and further research will be discussed.

elib-URL des Eintrags:https://elib.dlr.de/186241/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Using an AR-interface for efficient navigation to DRT pick-up locations: a naturalistic field study
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Hub, FabianFabian.Hub (at) dlr.dehttps://orcid.org/0000-0002-1313-7300NICHT SPEZIFIZIERT
Meyer-Arlt, TillTill.Meyer-Arlt (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Avsar, HüseyinHueseyin.Avsar (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Oehl, MichaelMichael.Oehl (at) dlr.dehttps://orcid.org/0000-0002-0871-2286NICHT SPEZIFIZIERT
Datum:2022
Erschienen in:64th TeaP - Tagung experimentell arbeitender Psycholog:innen
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:augmented reality, human-machine interface, shared automated mobility on-demand, field study
Veranstaltungstitel:TeaP 2022
Veranstaltungsort:Köln
Veranstaltungsart:nationale Konferenz
Veranstaltungsbeginn:20 März 2022
Veranstaltungsende:23 März 2022
Veranstalter :Universität Köln
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 - KoKoVI - Koordinierter kooperativer Verkehr mit verteilter, lernender Intelligenz
Standort: Berlin-Adlershof , Braunschweig
Institute & Einrichtungen:Institut für Verkehrssystemtechnik > Kooperative Systeme, BA
Institut für Verkehrssystemtechnik > Kooperative Systeme, BS
Hinterlegt von: Hub, Fabian
Hinterlegt am:29 Apr 2022 14:04
Letzte Änderung:24 Apr 2024 20:47

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