In conditionally autonomous vehicles, drivers should take over vehicle control when the automated system fails, which is a challenge to perform safely in urgent situations due to critical time constraints and great stress increment. To identify how driver stress changes during urgent takeovers and the association with driver performance, this study conducted a human-in-the-loop driving simulator experiment. The urgent takeover request was designed with a time budget of 3s. Stress levels were evaluated through galvanic skin responses (GSR). A moderating effect model was then built between stress levels, minimum time-to-collision and brake reaction time. Results showed driver stress was significantly high and peaked from 5 s to 10 s after the takeover was triggered. Besides, too much stress indicated by GSR data (0.059–0.096 mμS) showed significant moderating effects on extending brake reaction time. This study could contribute to improving the takeover strategy with stress traits considered.


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    Titel :

    Evaluating Effects of Urgent Takeover Requests on Driver Stress through Galvanic Skin Response Analysis


    Beteiligte:
    Yin, Weiru (Autor:in) / Chai, Chen (Autor:in) / Hurwitz, David S. (Autor:in) / Wang, Siqi (Autor:in) / Guo, Jiaxin (Autor:in) / Liu, Xiao (Autor:in)

    Kongress:

    22nd COTA International Conference of Transportation Professionals ; 2022 ; Changsha, Hunan Province, China


    Erschienen in:

    CICTP 2022 ; 1661-1671


    Erscheinungsdatum :

    2022-09-08




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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