Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data.

@article{Kale2018HypotheticalOP,
  title={Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data.},
  author={Alex M Kale and Francis Nguyen and Matthew Kay and Jessica Hullman},
  journal={IEEE transactions on visualization and computer graphics},
  year={2018}
}
Animated representations of outcomes drawn from distributions (hypothetical outcome plots, or HOPs) are used in the media and other public venues to communicate uncertainty. HOPs greatly improve multivariate probability estimation over conventional static uncertainty visualizations and leverage the ability of the visual system to quickly, accurately, and automatically process the summary statistical properties of ensembles. However, it is unclear how well HOPs support applied tasks resembling… CONTINUE READING