Information visualization using 3D interactive animation
Communications of the ACM - Special issue on graphical user interfaces
Visualization's new tack: making sense of information
IEEE Spectrum
Analysis of visualisation requirements for fuzzy systems
Proceedings of the 1st international conference on Computer graphics and interactive techniques in Australasia and South East Asia
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CHI '99 Extended Abstracts on Human Factors in Computing Systems
Modeling and visualizing uncertainty in a global water balance model
Proceedings of the 2003 ACM symposium on Applied computing
Animated visual vibrations as an uncertainty visualisation technique
Proceedings of the 2nd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
Visualisation of fuzzy systems: requirements, techniques and framework
Future Generation Computer Systems
CandidTree: visualizing structural uncertainty in similar hierarchies
Information Visualization
Revealing uncertainty for information visualization
AVI '08 Proceedings of the working conference on Advanced visual interfaces
Visualization of Uncertainty and Reasoning
SG '07 Proceedings of the 8th international symposium on Smart Graphics
Visualisation of fuzzy systems: requirements, techniques and framework
Future Generation Computer Systems
Visualizing multiple uncertainty sources
CGIM '08 Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging
Towards a metrics-based framework for assessing comprehension of software visualization systems
Proceedings of the 2007 conference on Human interface: Part I
Revealing uncertainty for information visualization
Information Visualization
Visualizing alternative scenarios of evolution in heritage architecture
i-KNOW '11 Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies
Uncertainty-aware exploration of continuous parameter spaces using multivariate prediction
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Usage of fuzzy spatial theory for modelling of terrain passability
Advances in Fuzzy Systems - Special issue on Fuzzy Methods and Approximate Reasoning in Geographical Information Systems
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Our brains are wired to accept what we see as the truth. This holds true in nature most of the time. In synthetic imagery, however, it doesn't always. To begin with, the visualized data and information can be inaccurate or even wrong. Moreover, in the synthetic digital world anybody can visualize anything in any shape or form, disregarding how users might perceive or get the information. Worse, as technology develops, it becomes easier to do so. Understanding the data and information and reaching sound decisions requires knowing what pieces of information or data are accurate, complete, consistent, and certain, identifying which are not and by how much, and making the presentation accurate. Certain techniques help us do this, as explained here.