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    What to Expect of Automated Driving: Expectations and Anticipation of System Behavior

    What to Expect of Automated Driving: Expectations and Anticipation of System Behavior


    Abstract A realistic view on what new technology can or cannot handle safely should enhance the interaction of driver and technology from first activation on. Wrong assumptions on how technology functions might result in critical driving situations or prevent the activation of an otherwise useful system. Addressing different forms of information given to a driver, a two-tiered research approach was conducted. A focus group study (N = 11) on users concerns regarding automated driving revealed the need of information provided to users to gain an understanding of the function. Further, the usefulness of specific initial information to enhance prediction of system behavior in selected driving situations was focused on in an online survey (N = 108). The results are discussed with regard to further use in behavioral studies on take-over anticipation and intention to use automated systems.

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    Title :

    What to Expect of Automated Driving: Expectations and Anticipation of System Behavior

    Contributors:
    Josten, Johanna (author) / Schmidt, Teresa (author) / Philipsen, Ralf (author) / Eckstein, Lutz (author) / Ziefle, Martina (author)
    Published in:

    Advances in Human Aspects of Transportation ; 5 ; 606-617

    Advances in Intelligent Systems and Computing ; 597 , 5

    Publication date :

    2017-06-24

    Size :

    12 pages

    ISBN :

    978-3-319-60440-4 , 978-3-319-60441-1

    ISSN :

    2194-5357 , 2194-5365

    DOI :

    https://doi.org/10.1007/978-3-319-60441-1_59

    Type of media :

    Article/Chapter (Book)

    Type of material :

    Electronic Resource

    Language :

    English

    Keywords :

    Human factors , Automated driving , Initial information Engineering , Transportation Technology and Traffic Engineering , User Interfaces and Human Computer Interaction , Robotics and Automation , Computational Intelligence

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