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

Hub, Fabian and Meyer-Arlt, Till and Avsar, Hüseyin and Oehl, Michael (2022) Using an AR-interface for efficient navigation to DRT pick-up locations: a naturalistic field study. TeaP 2022, 20.-23. März 2022, Köln.

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Abstract

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.

Item URL in elib:https://elib.dlr.de/186241/
Document Type:Conference or Workshop Item (Speech)
Title:Using an AR-interface for efficient navigation to DRT pick-up locations: a naturalistic field study
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Hub, FabianFabian.Hub (at) dlr.dehttps://orcid.org/0000-0002-1313-7300
Meyer-Arlt, TillTill.Meyer-Arlt (at) dlr.deUNSPECIFIED
Avsar, HüseyinHueseyin.Avsar (at) dlr.deUNSPECIFIED
Oehl, MichaelMichael.Oehl (at) dlr.dehttps://orcid.org/0000-0002-0871-2286
Date:2022
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:augmented reality, human-machine interface, shared automated mobility on-demand, field study
Event Title:TeaP 2022
Event Location:Köln
Event Type:national Conference
Event Dates:20.-23. März 2022
Organizer:Universität Köln
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - KoKoVI - Koordinierter kooperativer Verkehr mit verteilter, lernender Intelligenz
Location: Berlin-Adlershof , Braunschweig
Institutes and Institutions:Institute of Transportation Systems > Cooperative Systems, BA
Institute of Transportation Systems > Cooperative Systems, BS
Deposited By: Hub, Fabian
Deposited On:29 Apr 2022 14:04
Last Modified:03 May 2022 14:58

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