Post-takeover proficiency in conditionally automated driving : understanding stabilization time with driving and physiological signals

Gruden, Timotej (author), Tomažič, Sašo (author), Jakus, Grega (author)

In the realm of conditionally automated driving, understanding the crucial transition phase after a takeover is paramount. This study delves into the concept of post-takeover stabilization by analyzing data recorded in two driving simulator experiments. By analyzing both driving and physiological signals, we investigate the time required for the driver to regain full control and adapt to the dynamic driving task following automation. Our findings show that the stabilization time varies between measured parameters. While the drivers achieved driving-related stabilization (winding, speed) in eight to ten seconds, physiological parameters (heart rate, phasic skin conductance) exhibited a prolonged response. By elucidating the temporal and cognitive dynamics underlying the stabilization process, our results pave the way for the development of more effective and user-friendly automated driving systems, ultimately enhancing safety and driving experience on the roads.

• Language: English
• Keywords: takeover, stabilization, conditionally automated driving, driving simulator, user study, physiology
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FE - Faculty of Electrical Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2024
• Number of pages: 23 str.
• Numbering: Vol. 24, iss. 10, [article no.] 3193
• PID: 20.500.12556/RUL-156392
• UDC: 004:629.4.072
• ISSN on article: 1424-8220
• DOI: 10.3390/s24103193
• COBISS.SI-ID: 196199683
• Publication date in RUL: 23.05.2024

Record is a part of a journal

• Title: Sensors
• Shortened title: Sensors
• Publisher: MDPI
• ISSN: 1424-8220
• COBISS.SI-ID: 10176278

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Keywords: prevzem vodenja, stabilizacija, pogojno avtomatizirana vožnja, simulator vožnje, uporabniška študija, fiziologija

Projects

• Funder: ARIS - Slovenian Research and Innovation Agency
• Project number: P2-0246
• Name: ICT4QoL - Informacijsko komunikacijske tehnologije za kakovostno življenje