TY - GEN
T1 - Toward Emotional State Recognition in Driving Performance and Safety Evaluation
T2 - International Conference on Transportation and Development 2020: Transportation Safety, ICTD 2020
AU - Guo, Jiawen
AU - Jiang, Xiaobei
AU - Li, Chengyu
AU - Cheng, Qian
AU - Yu, Wenlin
AU - Wang, Wuhong
N1 - Publisher Copyright:
© 2020 American Society of Civil Engineers.
PY - 2020
Y1 - 2020
N2 - Car driving is a goal-directed behavior with the driver playing a key role. When the drivers are encouraged or hindered from achieving their goals, they may behave in different emotional states on different scenarios which are well known to impact perception, attention, and maneuvers. A simulator based experiment was designed within which the driver emotions were induced by stimulation of different traffic scenarios. The facial expressions of 21 participants were recorded, and three kinds of emotional states including neutral, impatience/anger, surprise were determined according to facial action coding system (FACS). The effects of different scenarios and emotional states on driving performance with the indicators of driving speed, acceleration, and standard deviation of lateral position were statistically analyzed. The results may contribute to the communication of emotions and planned behavior, as well as the identifications of strategies to reduce aggressive driving.
AB - Car driving is a goal-directed behavior with the driver playing a key role. When the drivers are encouraged or hindered from achieving their goals, they may behave in different emotional states on different scenarios which are well known to impact perception, attention, and maneuvers. A simulator based experiment was designed within which the driver emotions were induced by stimulation of different traffic scenarios. The facial expressions of 21 participants were recorded, and three kinds of emotional states including neutral, impatience/anger, surprise were determined according to facial action coding system (FACS). The effects of different scenarios and emotional states on driving performance with the indicators of driving speed, acceleration, and standard deviation of lateral position were statistically analyzed. The results may contribute to the communication of emotions and planned behavior, as well as the identifications of strategies to reduce aggressive driving.
KW - Driving performance
KW - Emotional state recognition
KW - Facial expression.
KW - Simulator
UR - http://www.scopus.com/inward/record.url?scp=85091555752&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85091555752
T3 - International Conference on Transportation and Development 2020: Transportation Safety - Selected Papers from the International Conference on Transportation and Development 2020
SP - 390
EP - 400
BT - International Conference on Transportation and Development 2020
A2 - Zhang, Guohui
PB - American Society of Civil Engineers (ASCE)
Y2 - 26 May 2020 through 29 May 2020
ER -