As automobile manufacturers seek to provide customers with a growing array of in-vehicle information and functionality, information management becomes an important task for the driver. The organization of controls and information in the human/machine interface (HMI) is a major factor determining the efficiency with which users access and process information. This paper describes two studies in which empirical psychological methods are used to identify users' conceptual organization of automotive system functions. Results provide guidance for laying out controls and structuring hierarchical menus in HMIs for two products.


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    Title :

    Identifying Control Groupings and Menu Structures for Advanced Automotive Systems Using Psychological Clustering and Scaling Techniques


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    SAE 2000 World Congress ; 2000



    Publication date :

    2000-03-06




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Identifying Control Groupings and Menu Structures for Advanced Automotive Systems Using Psychological Clustering and Scaling Techniques

    Kleiss, J. A. / Witt, G. J. / Society of Automotive Engineers | British Library Conference Proceedings | 2000



    Headway Groupings

    P. Athol | NTIS | 1965


    Using cluster analysis for deriving menu structures for automotive mobile multimedia applications

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    Using Cluster Analysis for Deriving Menu Structures for Automotive Mobile Multimedia Applications

    Curry, David G. / Cummings-Hill, Mark A. / Toms, Mona L. et al. | SAE Technical Papers | 2001