Uncertainty Visualization: How to Make it Interpretable, Integrable, and Accessible?
Organizers:Timbwaoga A. J. Ouermi, Tushar M Athawale, Chris R. Johnson, Kristi Potter, Paul Rosen, David Pugmire, Antigoni Georgiadou, Tim Gerrits, Nadia Boukhelifa
Description:
Uncertainty visualization has long been recognized as a research challenge essential to trustworthy scientific discovery and informed decision-making. Despite multiple advances in uncertainty visualization methods, their adoption in real-world workflows remains limited due to three key challenges: interpretability, integrability, and accessibility. This workshop seeks to deepen community understanding and define research priorities across these three areas.
Jump to DiscussionPapers
Distribution-Agnostic Isocontour Confidence Bounds for Robust Uncertainty Visualization of Scalar Field Data
emoji_eventsHonorable Mention
Field Guide: Making Lived Uncertainty Interpretable in Women’s Return-to-Play
Fraying Certainty: Material Degradation as an Uncertainty Channel in Woven Textile Visualization
LoCoMapper: Local Structural Uncertainty Analysis of Mapper Graphs under Cover Perturbations
emoji_eventsHonorable Mention
Practice improves performance with uncertainty visualization tasks.
Prediction market visualizations, betting, and uncertainty: A study of Reddit Posts and Comments
emoji_eventsBest paper award
Seeing Through Uncertainty: Optical Operations as a Design Vocabulary for Uncertainty Visualization
Similar Ratings, Different Consensus: Visualizing Agreement Uncertainty in Survey Data
emoji_eventsBest paper award