Conference proceeding
Adapting the cognitive walkthrough method to assess the usability of a knowledge domain visualization
IEEE Symposium on Information Visualization, 2005. INFOVIS 2005
2005
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Adapting the cognitive walkthrough method to assess the usability of a knowledge domain visualization
- Creators
- K Allendoerfer - Coll. of Inf. Sci. & Technol., Drexel Univ., Philadelphia, PA, USAS Aluker - Coll. of Inf. Sci. & Technol., Drexel Univ., Philadelphia, PA, USAG Panjwani - Coll. of Inf. Sci. & Technol., Drexel Univ., Philadelphia, PA, USAJ Proctor - Coll. of Inf. Sci. & Technol., Drexel Univ., Philadelphia, PA, USAD Sturtz - Coll. of Inf. Sci. & Technol., Drexel Univ., Philadelphia, PA, USAM Vukovic - Coll. of Inf. Sci. & Technol., Drexel Univ., Philadelphia, PA, USAChaomei Chen - Drexel University
- Publication Details
- IEEE Symposium on Information Visualization, 2005. INFOVIS 2005
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000234641900026
- Scopus ID
- 2-s2.0-33749377412
- Other Identifier
- 991019169789704721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Software Engineering