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Seven Guiding Scenarios for Information Visualization Evaluation

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Author
Lam, Heidi
Bertini, Enrico
Isenberg, Petra
Plaisant, Catherine
Carpendale, Sheelagh
Accessioned
2011-01-24T18:03:42Z
Available
2011-01-24T18:03:42Z
Issued
2011-01-24T18:03:42Z
Other
Infovis
Subject
Information visualization
evaluation
Type
technical report
Metadata
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Abstract
We take a new, scenario based look at evaluation in information visualization. Our seven scenarios, evaluating visual data analysis and reasoning, evaluating user performance, evaluating user experience, evaluating environments and work practices, evaluating communication through visualization, automated evaluation of visualizations, and evaluating collaborative data analysis were derived through an extensive literature review of over 800 visualization publications. These scenarios are described through their goals, the types of questions they embody and illustrated through example studies. Through this broad survey and the distillation of these scenarios we make two contributions. One, we encapsulate the current practices in the information visualization research community and, two, we provide a different approach to reaching decisions about what might be the most effective evaluation of a given information visualization. For example, if the research goals or evaluative questions are known they can be used to map to specific scenarios, where practical existing examples can be considered for effective evaluation approaches.
Refereed
No
Corporate
University of Calgary
Faculty
Science
Doi
http://dx.doi.org/10.11575/PRISM/30512
Uri
http://hdl.handle.net/1880/48389
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