Unravelling User Perspectives on Automated Urban Air Mobility: A Virtual Reality Approach

Lenart Motnikar (Speaker), Marlen Jachek, Lukas Kröninger, Michael Gafert, Alexander Mirnig, Viktoria Sandor, Samuel Lesak, Arno Fallast, Peter Fröhlich

Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentation

Abstract

To address future mobility needs, Urban Air Mobility (UAM) is emerging as a new transport concept, integrating electric vertical take-off and landing (eVTOL) vehicles into existing transport networks. However, despite significant investment and advances in the technology, potential adopters remain sceptical towards it, with safety, environmental concerns, and practicality presenting the most pressing issues. As several barriers hinder real-life testing of possible solutions, virtual reality (VR) offers a practical tool to explore some of the emerging issues. This demonstration simulates an airport-to-city UAM shuttle, presenting three scenarios with variable weather, cabin interfaces, and abnormal events in a high-fidelity representation of a potential use case. As such, it provides a groundwork for future exploration of UAM acceptance factors in VR studies.
Original languageEnglish
Title of host publicationAdjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
PublisherAssociation for Computing Machinery (ACM)
Pages317-319
Number of pages3
ISBN (Print)9798400701122
DOIs
Publication statusPublished - 18 Sept 2023
Event15th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2023) - Ingolstadt, Germany
Duration: 18 Sept 202322 Sept 2023
https://www.auto-ui.org/23/

Conference

Conference15th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2023)
Abbreviated titleAutomotiveUI 2023
Country/TerritoryGermany
CityIngolstadt
Period18/09/2322/09/23
Internet address

Research Field

  • Former Research Field - Capturing Experience
  • Experience Business Transformation

Keywords

  • advanced urban air mobility
  • air taxi
  • virtual reality
  • automation

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