People use visualizations to make large-scale decisions, such as whether to evacuate a town before a hurricane strike, and more personal decisions, such as which medical treatment to undergo. Given their widespread use and social impact, we believe it is vital to ensure that visualizations clearly and effectively communicate data. We conduct empirical evaluations and qualitative analysis to determine how visualizations both help and hinder the decision-making process. Our goal is to use cognitive science to improve the presentation of information and to train people to be more informed information consumers.
- uncertainty visualization, measuring cognitive effort, theoretical models of decision making with visualizations, mental models of data, rainbow color maps, effects of binning continuous data, hurricane forecasting, hazard maps, metaphors
Best Paper Award at VIS 2022. Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations
Examining Effort in 1D Uncertainty Communication Using Individual Differences in Working Memory and NASA-TLX.
Uncertain about uncertainty: How qualitative expressions of forecaster confidence impact decision-making with uncertainty visualizations
Toward objective evaluation of working memory in visualizations: A case study using pupillometry and a dual-task paradigm.
Visualizing uncertain tropical cyclone predictions using representative samples from ensembles of forecast tracks
*Downloads: Supplementary Materials, Visualization technique code, and User study analysis R code + data