TY - GEN
T1 - Wake Up and Take Over! the Effect of Fatigue on the Take-over Performance in Conditionally Automated Driving
AU - Feldhutter, Anna
AU - Kroll, Dominik
AU - Bengler, Klaus
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/7
Y1 - 2018/12/7
N2 - Although fatigue's negative impact on driving performance is well known from manual driving, its effect on the take-over performance during the transition from conditionally automated driving to manual driving is still uncertain. The effect of fatigue on the take-over performance was examined in a driving simulator study with 47 participants assigned to two conditions: fatigued or alert. In the corresponding condition (fatigued or alert), the desired driver state was promoted by specific measures (e.g, daytime, caffeinated beverages, physical exercise). In the fatigued condition, the take-over situation was triggered once participants reached a certain high level of fatigue. Two trained, independent observer assessed fatigue with the support of a technical fatigue assessment system based on objective eyelid-closure metrics (e.g, PERCLOS). In the alert condition, participants drove conditionally automated for a fixed 5-minute period. Results showed no significant difference between participants' take-over times in the two conditions. However, fatigued participants were significantly more burdened and stressed during the take-over situation than were alert participants and manifested less confident behavior when coping with the situation. This behavior may negatively affect the transition from conditionally automated driving to manual driving in more complex situations and merits further examination.
AB - Although fatigue's negative impact on driving performance is well known from manual driving, its effect on the take-over performance during the transition from conditionally automated driving to manual driving is still uncertain. The effect of fatigue on the take-over performance was examined in a driving simulator study with 47 participants assigned to two conditions: fatigued or alert. In the corresponding condition (fatigued or alert), the desired driver state was promoted by specific measures (e.g, daytime, caffeinated beverages, physical exercise). In the fatigued condition, the take-over situation was triggered once participants reached a certain high level of fatigue. Two trained, independent observer assessed fatigue with the support of a technical fatigue assessment system based on objective eyelid-closure metrics (e.g, PERCLOS). In the alert condition, participants drove conditionally automated for a fixed 5-minute period. Results showed no significant difference between participants' take-over times in the two conditions. However, fatigued participants were significantly more burdened and stressed during the take-over situation than were alert participants and manifested less confident behavior when coping with the situation. This behavior may negatively affect the transition from conditionally automated driving to manual driving in more complex situations and merits further examination.
KW - conditionally automated driving
KW - fatigue
KW - takeover performance
UR - http://www.scopus.com/inward/record.url?scp=85060431497&partnerID=8YFLogxK
U2 - 10.1109/ITSC.2018.8569545
DO - 10.1109/ITSC.2018.8569545
M3 - Conference contribution
AN - SCOPUS:85060431497
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 2080
EP - 2085
BT - 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018
Y2 - 4 November 2018 through 7 November 2018
ER -