How the Duration of Automated Driving Influences Take-Over Performance and Gaze Behavior

The take-over of the driving task in highly automated vehicles at system limits is subject to latest research in ergonomics and human-machine-interaction. Most studies focus on driving simulator studies, examining the take-over performance mainly after short periods of automated driving, although take-over requests may not occur such frequently in future automated vehicles. This study tries to close this gap and compares driving performance and reaction times of a take-over after 5 and 20 min of automated driving. Further, the gaze behavior in the beginning and in the end of the 20 min period is compared. While the duration of automated driving did not show to influence the take-over performance, gaze behavior changed within the 20 min of automated driving. The SuRT and the 20 min automation period induced slower reactions, but no significant changes regarding accelerations and time to collision.

[1]  Klaus Bengler,et al.  Ubernahmezeiten beim hochautomatisierten Autofahren , 2012 .

[2]  Klaus Bengler,et al.  How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving , 2014 .

[3]  Klaus Bengler,et al.  Taking Over Control From Highly Automated Vehicles in Complex Traffic Situations , 2016, Hum. Factors.

[4]  A. Buchner,et al.  Drivers' misjudgement of vigilance state during prolonged monotonous daytime driving. , 2009, Accident; analysis and prevention.

[5]  Edward M. Hitchcock,et al.  Active and passive fatigue in simulated driving: discriminating styles of workload regulation and their safety impacts. , 2013, Journal of experimental psychology. Applied.

[6]  Klaus Bengler,et al.  “Take over!” How long does it take to get the driver back into the loop? , 2013 .

[7]  Neville Moray Are Observers Ever Really Complacent When Monitoring Automated Systems? , 2000 .

[8]  Catherine Neubauer,et al.  The Effects of Cell Phone Use and Automation on Driver Performance and Subjective State in Simulated Driving , 2012 .

[9]  A. Wirz-Justice,et al.  Circadian and wake-dependent modulation of fastest and slowest reaction times during the psychomotor vigilance task , 2004, Physiology & Behavior.

[10]  Klaus Bengler,et al.  The influence of age on the take-over of vehicle control in highly automated driving , 2016 .

[11]  R. Schleicher,et al.  Blinks and saccades as indicators of fatigue in sleepiness warners: looking tired? , 2022 .

[12]  Klaus Bengler,et al.  Utilization of Drivetime – Performing Non-Driving Related Tasks While Driving Highly Automated , 2015 .

[13]  Daniel Damböck,et al.  Automationseffekte im Fahrzeug – von der Reaktion zur Übernahme , 2013 .