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Vigilance Decrement During On-Road Partially Automated Driving Across Four Systems
Francesco N Biondi1,2, Amy S McDonnell2, Mobina Mahmoodzadeh1
1Human Systems Lab, University of Windsor, Windsor, ON, Canada.
Objective:
This study uses a detection task to measure changes in driver vigilance when operating four different partially automated systems.
Background:
Research show temporal declines in detection task performance during manual and fully automated driving, but the accuracy of using this approach for measuring changes in driver vigilance during on-road partially automated driving is yet unproven.
Method:
Participants drove four different vehicles (Tesla Model 3, Cadillac CT6, Volvo XC90, and Nissan Rogue) equipped with level-2 systems in manual and partially automated modes. Response times to a detection task were recorded over eight consecutive time periods.
Results:
Bayesian analysis revealed a main effect of time period and an interaction between mode and time period. A main effect of vehicle and a time period x vehicle interaction were also found.
Conclusion:
Results indicated that the reduction in detection task performance over time was worse during partially automated driving. Vehicle-specific analysis also revealed that detection task performance changed across vehicles, with slowest response time found for the Volvo.
Application:
The greater decline in detection performance found in automated mode suggests that operating level-2 systems incurred in a greater vigilance decrement, a phenomenon that is of interest for Human Factors practitioners and regulators. We also argue that the observed vehicle-related differences are attributable to the unique design of their in-vehicle interfaces.
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