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.


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    Title :

    Toward Emotional State Recognition in Driving Performance and Safety Evaluation: A Simulator Study


    Contributors:
    Guo, Jiawen (author) / Jiang, Xiaobei (author) / Li, Chengyu (author) / Cheng, Qian (author) / Yu, Wenlin (author) / Wang, Wuhong (author)

    Conference:

    International Conference on Transportation and Development 2020 ; 2020 ; Seattle, Washington (Conference Cancelled)



    Publication date :

    2020-08-31




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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