BibTeX
@MISC{Brenstein01mailingaddress:,
author = {Elke Brenstein and Bettina Berendt and Bettina Berendt},
title = {Mailing address:},
year = {2001}
}
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Abstract
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 which are important for understanding Web navigation. We then present STRATDYN, a tool which 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 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 presented approach. Visualizing Individual Differences in Web Navigation: STRATDYN, a Tool for Analyzing Navigation Patterns The question of how people navigate through hyperspace, what decisions they make, and why they make these decisions is important for those concerned with computer-mediated learning as well as for interface designers and authors of hypermedia information spaces. Although users are nowadays more familiar with hypertext, and the quality of hypermedia design continues to improve, users still complain about "being lost in hyperspace" and suffer from cognitive overload (Edwards & Hardman, 1989; Wright, 1991). The questions as to why users may have problems when navigating in complex information spaces can be addressed with a broad spectrum of research methods, such as think-...
Keyphrases
web navigation vocational training qualitative measure interface designer navigational behavior new approach computer-mediated learning broad spectrum behavioral trace stroop test log file data different method research method easy-to-follow visualization movement sequence hypermedia design cognitive overload navigational path edward hardman presented approach server-generated log file individual user hypermedia information space important source individual difference navigation pattern focus attention d2 test german version navigational effectiveness complex information space
