Who is performing the driving tasks after interventions? Investigating drivers' understanding of mode transition logic in automated vehiclesShow others and affiliations
2024 (English)In: Applied Ergonomics, ISSN 0003-6870, E-ISSN 1872-9126, Vol. 121, article id 104369Article in journal (Refereed) Published
Abstract [en]
Mode awareness is important for the safe use of automated vehicles, yet drivers' understanding of mode transitions has not been sufficiently investigated. In this study, we administered an online survey to 838 respondents to examine their understanding of control responsibilities in partial and conditional driving automation with four types of interventions (brake pedal, steering wheel, gas pedal, and take-over request). Results show that most drivers understand that they are responsible for speed and distance control after brake pedal interventions and steering control after steering wheel interventions. However, drivers have mixed responses regarding the responsibility for speed and distance control after steering wheel interventions and the responsibility for steering control after gas pedal interventions. With a higher automation level (conditional driving automation), drivers expect automation to remain responsible more often compared to a lower automation level (partial driving automation). Regarding Hands-on requirements, more than 99% of respondents answered that drivers would keep their hands on the steering wheel after all intervention types in partial automation, while 60-95% would place their hands on the wheel after various intervention types in conditional automation. A misalignment between actual logic and drivers' expectations regarding control responsibilities is observed by comparing survey responses to the mode transition logic of commercial partially automated vehicles. To resolve confusion about control responsibilities and ensure consistent expectations, we propose implementing a consistent mode design and providing enhanced information to drivers.
Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 121, article id 104369
Keywords [en]
Advanced driver assistance system (ADAS), Automated vehicles, Human-machine interaction, Mode awareness
National Category
Vehicle and Aerospace Engineering
Identifiers
URN: urn:nbn:se:oru:diva-115642DOI: 10.1016/j.apergo.2024.104369ISI: 001301651300001PubMedID: 39182395Scopus ID: 2-s2.0-85201896068OAI: oai:DiVA.org:oru-115642DiVA, id: diva2:1892485
Funder
EU, Horizon 2020, 8755972024-08-272024-08-272025-02-14Bibliographically approved