LISTEN: sounding uncertainty visualization
Proceedings of the 7th conference on Visualization '96
Contextual design: defining customer-centered systems
Contextual design: defining customer-centered systems
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Glyphs for Visualizing Uncertainty in Vector Fields
IEEE Transactions on Visualization and Computer Graphics
Visualization of an Imperfect World
IEEE Computer Graphics and Applications
Visualizing Data with Bounded Uncertainty
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
Visualization of fuzzy data using generalized animation
VIS '92 Proceedings of the 3rd conference on Visualization '92
Point-Based Probabilistic Surfaces to Show Surface Uncertainty
IEEE Transactions on Visualization and Computer Graphics
Uncertainty and Information: Foundations of Generalized Information Theory
Uncertainty and Information: Foundations of Generalized Information Theory
CandidTree: visualizing structural uncertainty in similar hierarchies
INTERACT'07 Proceedings of the 11th IFIP TC 13 international conference on Human-computer interaction - Volume Part II
Creating and visualizing fuzzy document classification
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
Trust me, i'm partially right: incremental visualization lets analysts explore large datasets faster
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
| Hi-index | 0.00 |
Uncertainty in data occurs in domains ranging from natural science to medicine to computer science. By developing ways to include uncertainty in our information visualizations we can provide more accurate visual depictions of critical datasets. One hindrance to visualizing uncertainty is that we must first understand what uncertainty is and how it is expressed by users. We reviewed existing work from several domains on uncertainty and conducted qualitative interviews with 18 people from diverse domains who self-identified as working with uncertainty. We created a classification of uncertainty representing commonalities in uncertainty across domains and that will be useful for developing appropriate visualizations of uncertainty.