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Navigational behavior on the Web can be analyzed with different methods. Log file data are an important source of behavioral traces of navigation. In this paper, we first discuss existing approaches to the classification and visualization of movement sequences that are important for understanding Web navigation. We then present STRATDYN, a tool that provides meaningful quantitative and qualitative measures from server-generated log files, as well as easy-to-follow visualizations of navigational paths of individual users. We demonstrate the usefulness of this new approach by reporting the results of two studies (with 44 students in education and vocational training), which show that navigational effectiveness is positively related to the ability to concentrate and selectively focus attention, as measured by the D2 Test of Attention and the FWIT, a German version of the Stroop test. Finally, we discuss implications for further research in this area and for the continuing development of the approach presented.

Visualizing individual differences in Web navigation: STRATDYN, a tool for analyzing navigation patterns