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Canonical behavior patterns
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http://hdl.handle.net/1860/3850
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| Title: | Canonical behavior patterns |
| Authors: | Mankowski, Walter C. |
| Keywords: | Computer science
Motor vehicle driving
Browsers (Computer programs)
Protocol analysis |
| Issue Date: | Jun-2012 |
| Abstract: | 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. |
| Description: | Thesis (PhD, Computer science)--Drexel University, 2012. |
| URI: | http://hdl.handle.net/1860/3850 |
| Appears in Collections: | Drexel Theses and Dissertations
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