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Implicit Uncertainty Visualization: Aligning Perception and Statistics

Proceedings of the 2015 Workshop on Visualization for Decision Making Under Uncertainty — oct 2015
Download the publication : vdmu_submitted.pdf [1.1Mo]  
In this work, we present a brief argument for implicit uncertainty visualization. Instead of building complex models of quantifications of uncertainty in data, we rely on how viewers perceive aggregation information in visualizations to act as a proxy for these models. This perceptual uncertainty can take into account outliers and trends which might otherwise be difficult to quantify. Implicit uncertainty visualization also changes the design problem of how to visualize and communicate every relevant variable for uncertainty to a potentially simpler one: how to encode the data itself to make the perceptual extraction of summary statistics as easy as possible.

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BibTex references

@InProceedings{CG15,
  author       = "Correll, Michael and Gleicher, Michael",
  title        = "Implicit Uncertainty Visualization: Aligning Perception and Statistics",
  booktitle    = "Proceedings of the 2015 Workshop on Visualization for Decision Making Under Uncertainty",
  month        = "oct",
  year         = "2015",
  ee           = "http://vda.univie.ac.at/uncertainty2015/submissions/correll_vdmu.pdf",
  url          = "http://graphics.cs.wisc.edu/Papers/2015/CG15"
}
 

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