A Framework for Visual Information Analysis
Date
2007-07-12
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Abstract
To design information visualization tools that support users needs,
we need to understand how users engage with information visualizations in
their analysis process. With the rapid growth in size and complexity of
datasets, the practicality of an individual analyzing an entire dataset is
becoming unrealistic. Instead, the expertise to make informed decisions about
these information-rich datasets is often best accomplished by a team.
However, there exist relatively few models that describe the visual analysis
process, and only few studies that explore the differences between how
individuals and teams use visualizations. We present an observational study
where we explored the information analysis process of groups and individuals
in the context of visual information. From the analysis of our study, we
derive a framework that captures the activities of co-located teams and
individuals engaged in information analysis. This framework has implications
for the design, heuristic evaluation, and analysis of both collaborative and
single-user digital information visualization tools.
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Computer Science