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Reports (Research Report) Year : 2011

Seven Guiding Scenarios for Information Visualization Evaluation

Heidi Lam
  • Function : Author
  • PersonId : 928684
Enrico Bertini
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  • PersonId : 928685
Petra Isenberg
Catherine Plaisant
  • Function : Author
  • PersonId : 928686
Sheelagh Carpendale
  • Function : Author
  • PersonId : 924126

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.
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Dates and versions

hal-00723057 , version 1 (07-08-2012)

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  • HAL Id : hal-00723057 , version 1

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Heidi Lam, Enrico Bertini, Petra Isenberg, Catherine Plaisant, Sheelagh Carpendale. Seven Guiding Scenarios for Information Visualization Evaluation. [Research Report] 2011-992-04, 2011. ⟨hal-00723057⟩
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