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Mind Over Matter - Investigating the Influence of Driver's Perception in the Misuse of Automated Vehicles
Örebro University, School of Science and Technology. (Center for Applied Autonomous Sensor Systems)ORCID iD: 0000-0001-6381-2346
Department of Human-Centered Design, Delft University of Technology, Delft, Netherlands.
Design & Human Factors, Chalmers University of Technology, Gothenburg, Sweden, Sweden.
2025 (English)In: AutomotiveUI Adjunct '25: Adjunct Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, New York: Association for Computing Machinery (ACM) , 2025, p. 117-128Conference paper, Published paper (Refereed)
Abstract [en]

As vehicles with several levels of automation become increasingly common, there is an increase in incidents involving the misuse of Driving Automation Systems (DAS). The manner in which drivers interact with DAS indicates that the problem extends beyond UI design. We investigate how drivers' perceptions and expectations affect the understanding and consequent usage of DAS. The study employed a Wizard-of-Oz approach to simulate a vehicle with a Level 2 and Level 3 DAS on a public highway. Sixteen participants were exposed to the two driving modes and two distinct UIs. Observations, think-aloud protocols, and in-depth interviews documented their interaction with the different DAS. Irrespective of the UI, various errors were detected, including omission, commission, and mode confusion. Deeper investigation into the sources led to the conclusion that drivers' preconceptions of the DAS were a major contributor, resulting in misuse. This highlights the need to look beyond UI design as a sole solution to address driver-vehicle interaction.

Place, publisher, year, edition, pages
New York: Association for Computing Machinery (ACM) , 2025. p. 117-128
Keywords [en]
Driving Automation, Automated Vehicle, Perception, Mental Model, Use Error, Misuse
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:oru:diva-127294DOI: 10.1145/3744333.3747835ISI: 001661045500011ISBN: 9798400720147 (electronic)OAI: oai:DiVA.org:oru-127294DiVA, id: diva2:2039456
Conference
17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI Adjunct '25), Queensland University of Technology (QUT), Brisbane, Australia, September 22-25, 2025
Funder
EU, Horizon 2020, 875597
Note

Funding agencies:

Volvo Cars

Available from: 2026-02-17 Created: 2026-02-17 Last updated: 2026-02-17Bibliographically approved

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Novakazi, Fjollë

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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More languages
Output format
  • html
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