Meredith Skeels and Bongshin Lee and Greg Smith and George Robertson.
Revealing Uncertainty for Information Visualization.
In Information Visualization, vol. 9, no. 1, pp. 70--81, 2010.

Links:

Abstract:

Uncertainty in data occurs in domains ranging from natural science to medicine to computer science. By developing ways to include uncertainty in our information visualizations, we can provide more accurate depictions of critical data sets so that people can make more infc.rmed decisions.One hindrance to visualizing uncertainty is that we must first understand what uncertainty is and how it is expressed. We reviewed existing work from several domains on uncertainty and created a classification of uncertainty based on the literature. We empirically evaluated and improved upon our classification by conducting interviews with 18 people from several domains,who self-identified as working with uncertainty. Participants desuibed what uncertainty looks like in their data and how they deal with it. We found commonalities in uncertainty across domains and believe our refined classification will help us in developing appropriate visualizations for each category of uncertainty.

Bibtex:

@Article{        skeels:2010:RUIV,
  author = 	 {Meredith Skeels and Bongshin Lee and Greg Smith and
                  George Robertson},
  title = 	 {Revealing Uncertainty for Information Visualization},
  journal = 	 {Information Visualization},
  year = 	 {2010},
  volume = 	 {9},
  number = 	 {1},
  pages = 	 {70--81},
}

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References:

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