Heidi Lam, Enrico Bertini, Petra Isenberg, Catherine Plaisant, Sheelagh Carpendale, "Empirical Studies in Information Visualization: Seven Scenarios," IEEE Transactions on Visualization and Computer Graphics, pp. 1520-1536, Sept., 2012 http://www.computer.org/portal/web/csdl/doi/10.1109/TVCG.2011.279 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, evaluating visualization algorithms, and
evaluating collaborative data analysis were derived through an extensive
literature review of over 800 visualization publications. These
scenarios distinguish different study goals and types of research
questions and are 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. Scenarios can
be used to choose appropriate research questions and goals and the
provided examples can be consulted for guidance on how to design one's
own study. |
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