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Perception's Role for Mental Model Formation in Automated Driving: Insights From Four Studies
Örebro University, School of Science and Technology. Division Design & Human Factors, Chalmers University of Technology, Gothenburg, Sweden. (Center for Adaptive Autonomous Sensor Systems)ORCID iD: 0000-0001-6381-2346
2025 (English)In: Journal of Cognitive Engineering and Decision Making, ISSN 1555-3434, E-ISSN 2169-5032, Vol. 19, no 4, p. 420-452Article in journal (Refereed) Published
Abstract [en]

The rapid development of driving automation systems (DAS) in the automotive industry aims to support drivers by automating longitudinal and lateral vehicle control. As vehicle complexity increases, it is crucial that drivers comprehend their responsibilities and the limitations of these systems. This work investigates the role of the driver's perception for the understanding of DAS by cross-analysing four empirical studies. Study I investigated DAS usage across different driving contexts via an online survey conducted in Germany, Spain, China, and the United States. Study II explored contextual DAS usage and the factors influencing drivers' understanding through a Naturalistic Driving Study (NDS), followed by in-depth interviews. Study III employed a Wizard-of-Oz on-road driving study to simulate a vehicle offering Level 2 and Level 4 DAS, paired with pre- and post-driving interviews. Study IV following up used a Wizard-of-Oz on-road driving study to simulate Level 2 and Level 3 DAS and subsequent in-depth interviews. The findings from these studies allowed the identification of aspects constituting a driver's understanding and factors influencing their perception of DAS. The identified aspects and factors were consolidated into a unified conceptual model, describing the process of how perception shapes the driver's mental model of a driving automation system.

Place, publisher, year, edition, pages
Sage Publications, 2025. Vol. 19, no 4, p. 420-452
Keywords [en]
automation, driving automation, mental model, perception, human-centric design, empirical studies
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:oru:diva-120906DOI: 10.1177/15553434251334409ISI: 001475076700001Scopus ID: 2-s2.0-105003993419OAI: oai:DiVA.org:oru-120906DiVA, id: diva2:1956534
Funder
Vinnova, 2017–01946Available from: 2025-05-06 Created: 2025-05-06 Last updated: 2026-01-23Bibliographically approved

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Novakazi, Fjollë

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