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Automation Preferences by Traffic Climate and Driver Skills in Two Samples From Countries with Different Levels of Traffic Safety
Middle East Technical University, Turkey; University of Leeds, England.ORCID iD: 0000-0002-5113-1225
Swedish National Road and Transport Research Institute, Society, environment and transport, Mobility, actors and planning processes.ORCID iD: 0000-0002-4715-8935
Middle East Technical University, Turkey.
2022 (English)In: Transportation Research Record, ISSN 0361-1981, E-ISSN 2169-4052, Vol. 2677, no 2, p. 1701-1712Article in journal (Refereed) Published
Abstract [en]

Automated systems present great capabilities with a wide range of options. In this respect, vehicle preferences and factors affecting these preferences are important for the future of automated systems. While automated systems offer varied features and improvements for drivers and general traffic safety, the relationship between drivers' perceptions of traffic systems and driver skills have not been studied. The present study, therefore, focuses on country differences and the relationships between traffic climate and driver skills and their impact on the preferred level of vehicle automation for drivers in Turkey and Sweden. The study was conducted with 318 drivers (age: mean [M] = 22.41, standard deviation [SD] = 2.77) from Turkey and 312 drivers (age: M = 28.80, SD = 8.53) from Sweden in 2020. A questionnaire package asking for demographic information and preferred levels of vehicle automation-Traffic Climate Scale (TCS) and the Driver Skill Inventory (DSI)-was completed. A series of analyses of covariance (ANCOVA), hierarchical regression, and moderated moderation analyses were conducted. Drivers from Turkey preferred higher automation levels than drivers from Sweden. Drivers with higher perceived safety skills, with lower perceived perceptual-motor skills or perceiving the traffic system as more externally demanding preferred higher automation levels. Drivers' automation preferences were affected by various individual and country-level factors. For the first time, drivers' automation preferences were elaborated in relation to traffic climate and driver skills in two countries with different levels of traffic safety. Theoretical and practical implications of the findings are discussed in the light of the literature.

Place, publisher, year, edition, pages
Sage Publications, 2022. Vol. 2677, no 2, p. 1701-1712
Keywords [en]
human factors, automation preference, traffic climate, driver skills, hierarchical regression
National Category
Applied Psychology
Identifiers
URN: urn:nbn:se:vti:diva-18868DOI: 10.1177/03611981221109593ISI: 000828855800001OAI: oai:DiVA.org:vti-18868DiVA, id: diva2:1715724
Available from: 2022-12-02 Created: 2022-12-02 Last updated: 2025-09-11Bibliographically approved

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Wallén Warner, Henriette

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