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Driver behavior while using Level 2 vehicle automation: a hybrid naturalistic study

Authors :
Joel M. Cooper
Kaedyn W. Crabtree
Amy S. McDonnell
Dominik May
Sean C. Strayer
Tushig Tsogtbaatar
Danielle R. Cook
Parker A. Alexander
David M. Sanbonmatsu
David L. Strayer
Source :
Cognitive Research, Vol 8, Iss 1, Pp 1-19 (2023)
Publication Year :
2023
Publisher :
SpringerOpen, 2023.

Abstract

Abstract Vehicle automation is becoming more prevalent. Understanding how drivers use this technology and its safety implications is crucial. In a 6–8 week naturalistic study, we leveraged a hybrid naturalistic driving research design to evaluate driver behavior with Level 2 vehicle automation, incorporating unique naturalistic and experimental control conditions. Our investigation covered four main areas: automation usage, system warnings, driving demand, and driver arousal, as well as secondary task engagement. While on the interstate, drivers were advised to engage Level 2 automation whenever they deemed it safe, and they complied by using it over 70% of the time. Interestingly, the frequency of system warnings increased with prolonged use, suggesting an evolving relationship between drivers and the automation features. Our data also revealed that drivers were discerning in their use of automation, opting for manual control under high driving demand conditions. Contrary to common safety concerns, our data indicated no significant rise in driver fatigue or fidgeting when using automation, compared to a control condition. Additionally, observed patterns of engagement in secondary tasks like radio listening and text messaging challenge existing assumptions about automation leading to dangerous driver distraction. Overall, our findings provide new insights into the conditions under which drivers opt to use automation and reveal a nuanced behavioral profile that emerges when automation is in use.

Details

Language :
English
ISSN :
23657464
Volume :
8
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Cognitive Research
Publication Type :
Academic Journal
Accession number :
edsdoj.f4d3a332316247fe8c72199cbf0a8b2c
Document Type :
article
Full Text :
https://doi.org/10.1186/s41235-023-00527-5