From novice to expert decision behaviour : a qualitative modelling approach with Petri nets

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    Abstract

    To support the human factors engineer in designing a good interactive system a method has been developed to analyze the empirical data of the interactive decision behaviour described in a finite discrete state space. The sequences of decisions and actions produced by users contain much information about the mental model of this user, the individual problem solution strategies for a given task and the underlying decision structure. We distinguish between (1) the logical structure, (2) the sequential goal structure, and (3) the temporal structure. The analysing tool AMME can handle the recorded decision and action sequences and come up automatically with an extracted net description of the task dependent decision model (the logical structure). This basis model was filled up with additional elements to reconstruct one empirical action sequence of an expert user. Four different models are presented and their predictive power discussed
    Original languageEnglish
    Title of host publicationSymbiosis of Human and Artifact : proceedings of the Sixth International Conference on Human Computer Interaction HCI International '95, Tokyo, Japan, 9-14 July 1995
    EditorsY. Anzai, K. Oawa, H. Mori
    Place of PublicationAmsterdam
    PublisherElsevier
    Pages449-454
    ISBN (Print)0444817956
    Publication statusPublished - 1995

    Publication series

    NameAdvances in Human Factors/Ergonomics
    Volume20
    ISSN (Print)0921-2647

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