Automated driving aims to enhance traffic safety. However, as long as drivers have the opportunity to take back manual control of the automated vehicle, they can disable automation to drive manually at any time. For an increase in traffic safety, this driver-initiated driver control should not occur in safety-critical situations when the automated system works faultlessly. In this driving simulator study, factors influencing the decision to take back manual control of an automated vehicle were investigated. Participants (N = 46) were driven by an automated system on a two-lane country road behind a slow vehicle. The visual range was restricted by fog. Therefore, the automation did not perform an overtaking maneuver. The automation could be disabled by the driver to overtake the preceding vehicle by performing a safety-critical maneuver. The influences of impulsivity and sensation seeking as well as three automation feedback systems on the decision to take back manual control were examined. Results indicated that high sensation seeking as well as high impulsivity were associated with an earlier deactivation of the automation. Though, driver-initiated driver control was not influenced by the different automation feedback systems. This experiment provides insights into factors influencing driver-initiated driver control, which might be useful for the development of automated driving systems and guidelines for automated driving.


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    Titel :

    Personality Influences on Drivers’ Decision to Take Back Manual Control: A Simulator Study on Automated Driving


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Black, Nancy L. (Herausgeber:in) / Neumann, W. Patrick (Herausgeber:in) / Noy, Ian (Herausgeber:in) / Leitner, Jasmin (Autor:in) / Hock, Philipp (Autor:in) / Baumann, Martin (Autor:in)

    Kongress:

    Congress of the International Ergonomics Association ; 2021 June 13, 2021 - June 18, 2021



    Erscheinungsdatum :

    2021-05-18


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch