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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/911

Title: Adapting the cognitive walkthrough method to assess the usability of a knowledge domain visualization
Authors: Allendoerfer, Kenneth R.
Aluker, Serge
Panjwani, Gulshan
Proctor, Jason M.
Sturtz, David
Vukovic, Mirjana
Chen, Chaomei
Keywords: cognitive walkthrough;usability inspection methods;bibliographic networks
Issue Date: Oct-2005
Publisher: IEEE
Citation: Adapting the cognitive walkthrough method to assess the usability of a knowledge domain visualization. in InfoVis 2005, (Minneapolis, MN. October 23-25, 2005), IEEE Computer Society Press, pp. 195-202. Retrieved 6/21/2006 from http://www.pages.drexel.edu/~cc345/papers/infovis2005.pdf.
Abstract: The usability of knowledge domain visualization (KDViz) tools can be assessed at several levels. Cognitive Walkthrough (CW) is a well-known usability inspection method that focuses on how easily users can learn software through exploration. Typical applications of CW follow structured tasks where user goals and action sequences that lead to achievement of the goals are welldefined. KDViz and other information visualization tools, however, are typically designed for users to explore data and user goals and actions are less well understood. In this paper, we describe how the traditional CW method may be adapted for assessing the usability of these systems. We apply the adapted version of CW to CiteSpace, a KDViz tool that uses bibliometric analyses to create visualizations of scientific literatures. We describe usability issues identified by the adapted CW and discuss how CiteSpace supported the completion of tasks, such as identifying research fronts, and the achievement of goals. Finally, we discuss improvements to the adapted CW and issues to be addressed before applying it to a wider range of KDViz tools.
URI: http://hdl.handle.net/1860/911
Appears in Collections:Faculty Research and Publications (IST)

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