Developing high‐level vehicle automation has been a continuing endeavor of automobile manufacturers. However, some literature has observed degraded driver vehicle control and hazard negotiation performance with exposure to vehicle automation. Implementing automation transparency has been explored in other domains as a method for mitigating automation misuse by pilots. However, this method has rarely been discussed for application in the automobile domain. In this study, we investigated the use of advanced driver assistance systems (ADAS) and transparency to mitigate negative impacts of automation on driving performance. In a simulated driving environment, 24 participants drove with adaptive cruise control (ACC), as part of Society of Automotive Engineers (SAE) Level 2 type “partial driving automation” and automation transparency was manipulated by varying the presence of audio information on vehicle automation system states.

    Results suggested that ADAS transparency could improve hazard negotiation performance and may also support primary driving performance after automation exposure. Driver survey results also supported utilizing high‐level vehicle automation transparency. The findings of this research may serve as an applicable guide for transparency in future ADAS systems.


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    Titel :

    Advanced Driver Assistance Systems: Transparency and Driver Performance Effects


    Beteiligte:
    Fortino, Giancarlo (Herausgeber:in) / Kaber, David (Herausgeber:in) / Nürnberger, Andreas (Herausgeber:in) / Mendonça, David (Herausgeber:in) / Deng, Yulin (Autor:in) / Kaber, David B. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2023-07-19


    Format / Umfang :

    16 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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