In the development of cognitive models, data are often collected in the form of behavioral protocols — sequences of actions performed by the user during the execution of a task. Behavioral protocols have been employed to study a wide variet

Walter C. Mankowski

A common problem in many areas of behavioral research is the analysis of the large volume of protocol data recorded during the execution of tasks. This dissertation describes a new automated method of protocol analysis to  nd canonical behaviors | a small subset of behavior protocols that are most representative of the full data set. The method I have developed takes advantage of recent algorithmic developments in pattern recognition. By adapting these methods to the analysis of behavior protocols, I provide a new tool for analysts working with large datasets that are infeasible to study using current methods. The method I propose can also be used as an important complement to existing sequential protocol analysis techniques, by allowing researchers to build their models based on a few highly representative samples. The contributions of this dissertation include the adaptation of the method to the analysis of behavior protocols; the development of similarity measures appropriate to behavior protocols; an extension of the method to work in oriented topologies; and a demonstration of the method's utility in real-world problem domains, particularly web browsing and driving.Ph.D., Computer Science -- Drexel University, 201

Mankowski, Walter C.

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Canonical behavior patterns

http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.372.7210

Canonical Behavior Patterns

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