Nadia Boukhelifa and David John Duke.
Uncertainty Visualization - Why Might it Fail?.
In CHI '09: Proceedings of the 27th International Conference, Extended Abstracts on Human Factors in Computing Systems, pp. 4051--4056, 2009.

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Abstract:

There is a gulf between the rhetoric in visualization about the importance of uncertainty, and the practice of visualization in which uncertainty is rarely seen other than as a laboratory exercise. We reflect on why something viewed as fundamental in science and engineering is rarely if ever adopted in visualization practice. Our analysis is informed both by research progress and by our own experience in an ongoing industrial case study on modelling and mapping underground assets, where it would appear that uncertainty plays a major role. In this case study, we try to identify promoting and limiting factors. We conclude that the value of uncertainty visualization is severely limited by the quality and scope of uncertainty data, by the limited confidence in the data itself, and by the perceptual and cognitive confusion that the depiction of this data can generate. We hope to broaden the discussion on the utility of uncertainty in visualization from the purely technical and perceptual issues to social and organizational factors.

Bibtex:

@InProceedings{  boukhelifa:2009:UVWF,
  author = 	 {Nadia Boukhelifa and David John Duke},
  title = 	 {Uncertainty Visualization - Why Might it Fail?},
  booktitle =    {CHI '09: Proceedings of the 27th International
                  Conference, Extended Abstracts on Human Factors in
                  Computing Systems},
  pages = 	 {4051--4056},
  year = 	 {2009},
}

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References:

Bostrom, A., Anselin, L., Farris, J. Visualising seismic risk and uncertainty: A review of related research. Annals of the New York Academy of Sciences 1128,1 (2008), 29-40.
Deitrick, S., Edsall, R. The influence of uncertainty visualization on decision making: An empirical evaluation. Progress in Spatial Data Handling (2006), 719-738.
Evans, B.J. Dynamic display of spatial data- reliability: Does it benefit the map user? Computers and Geosciences - Special Issue on Exploratory Cartographic Visualization 23, 4 (1997), 409-422.
Griethe, H., Schumann, H. The Visualization of uncertain data: Methods and problems. In Proceedings of SimVis'06 (2006), 143-156.
MacEachren, A., Robinson, A., Hopper, S., Gardner, R.M., Gahegan, M., Hetzler, E. Visualizing geospatial information uncertainty: What we know and what we need to know. Cartography and Geographic Information Science 32, 3 (2005), 139-160.
VISTA Project. http://www.vistadtiproject.org/.
Wittenbrink, C., Pang, A., Lodha, S. Glyphs for visualizing uncertainty in vector fields. IEEE Transactions on Visualization and Computer Graphics 2 (1996), 266-279.
Wray, K. Using the creative design process to develop illustrative rendering techniques to represent information quality. Journal of Young Investigators 17 (2008).