Abstract
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.
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