Although ADAS (Advanced Driver Assistance System) is improving and becoming nearly from automatic to autonomous, inconsistency between the system’s behavior and human driver’s understanding of the system can easily lead to automation surprises. To avoid such cases, the effect of supporting driver’s prediction of system behavior is investigated in this study. An effect of presenting predictive information to a driver earlier before hazardous events was studied by a driving simulation experiment and the result suggests that such early information is used for raising attention and or a cue for reaction depending on both timing of information presentation and a type of an event.


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    Titel :

    Supporting Event Prediction for Level 2 ADAS Users to Prevent Automation Surprises


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Stanton, Neville (Herausgeber:in) / Takahashi, Akihiko (Autor:in)

    Kongress:

    International Conference on Applied Human Factors and Ergonomics ; 2021 July 25, 2021 - July 29, 2021



    Erscheinungsdatum :

    27.06.2021


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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