DocumentCode :
2409385
Title :
Adapting the cognitive walkthrough method to assess the usability of a knowledge domain visualization
Author :
Allendoerfer, Kenneth ; Aluker, Serge ; Panjwani, Gulshan ; Proctor, Jason ; Sturtz, David ; Vukovic, Mirjana ; Chen, Chaomei
Author_Institution :
Coll. of Inf. Sci. & Technol., Drexel Univ., Philadelphia, PA, USA
fYear :
2005
fDate :
23-25 Oct. 2005
Firstpage :
195
Lastpage :
202
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 well defined. 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.
Keywords :
data visualisation; CiteSpace; bibliographic network; bibliometric analysis; cognitive walkthrough method; information visualization tools; knowledge domain visualization tool; scientific literature visualization; usability inspection method; user software learning; Application software; Bibliometrics; Chaos; Data visualization; Educational institutions; Information science; Inspection; Testing; Usability; User interfaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualization, 2005. INFOVIS 2005. IEEE Symposium on
Print_ISBN :
0-7803-9464-X
Type :
conf
DOI :
10.1109/INFVIS.2005.1532147
Filename :
1532147
Link To Document :
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