Corpus ID: 198985999

Visual Entropy and the Visualization of Uncertainty

@article{Holliman2019VisualEA,
  title={Visual Entropy and the Visualization of Uncertainty},
  author={N. Holliman and A. Ç{\"o}ltekin and Sara Johansson and M. Simpson and Kevin J. Wilson and A. J. Woods},
  journal={ArXiv},
  year={2019},
  volume={abs/1907.12879}
}
  • N. Holliman, A. Çöltekin, +3 authors A. J. Woods
  • Published 2019
  • Computer Science, Mathematics
  • ArXiv
  • Background: It is possible to find many different visual representations of data values in visualizations, it is less common to see visual representations that include uncertainty, especially in visualizations intended for non-technical audiences. [...] Key Method Method: We use sample entropy as a numerical measure of visual entropy to construct a set of glyphs using R and Blender which vary in their complexity. Results: A Bradley-Terry analysis of a pairwise comparison of the glyphs shows participants (n=19…Expand Abstract

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