An analysing and modelling tool kit for human-computer interaction

A tool kit has been developed to analyze the empirical data of the interactive task solving behaviour described in a finite discrete state space (e.g., human-computer interaction), helping the human factors engineer to design a good interactive system. The observable sequences of decisions and actions produced by users contain much information about (1) the mental model of the user, (2) the individual problem solving strategies for a given task, and (3) the underlying decision structure. AMME (Automatic Mental Model Evaluator), the presented analysing tool kit, handles the recorded decision and action sequences and automatically provides (1) an extracted net description of the task dependent "device" model, (2) a complete state transition matrix, and (3) different quantitative measures of the decision behaviour.