Stephanie A. Deitrick.
Uncertainty Visualization and Decision Making: Does Visualizing Uncertain Information Change Decisions?.
In Proceedings of the XXIII International Cartographic Conference, 2007.


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Abstract:

The importance of quantifying and representing uncertainty in geographic data is well recognized in geography. Many techniques have been developed for representing uncertainty, and there have been many participant-based empirical studies evaluating the effectiveness of specific techniques. Speed and accuracy of response are often typical dependent variables in these empirical studies. However, there is little empirical evidence to suggest that uncertainty visualization influences, or results in, different decisions. Through a human-subjects experiment, this research evaluates whether specific uncertainty visualization methods, including texture and value, influence decisions and a users' confidence in those decisions. The results of this study indicate that uncertainty visualization may effect decisions, but that the degree of influence may be governed by the decision task and not solely by the specific visualization technique used to communicate uncertainty information. The results of this research will support future research into whether the type of decision task should inform the methods for visualizing uncertainty in decision support applications.

Bibtex:

@InProceedings{  deitrick:2007:UVDM,
  author = 	 {Stephanie A. Deitrick},
  title = 	 {Uncertainty Visualization and Decision Making: Does
                  Visualizing Uncertain Information Change Decisions?},
  booktitle =    {Proceedings of the XXIII International Cartographic
                  Conference},
  year = 	 {2007},
}

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References:

Aerts, J. C. J. H., K. C. Clarke, and A. D. Keuper. 2003. Testing popular visualization techniques for representing model uncertainty. Cartography and Geographic Information Sciences 30 (3):249-261.
Aspinall, R. J., and D. M. Pearson. 1995. Describing and managing uncertainty of categorical maps in GIS. In Innovations in GIS 2, ed. P. Fisher, 71-83: Taylor & Francis.
Bastin, L., P. F. Fisher, and J. Wood. 2002. Visualizing uncertainty in multi-spectral remotely sensed imagery. Computers & Geosciences 28:337-350.
Cliburn, D. C., J. J. Feddema, J. R. Miller, and T. A. Slocum. 2002. Design and evaluation of a decision support system in a water balance application. Computers & Graphics 26 (6):931-949.
Deitrick, S. 2006. The Influence of Uncertainty Visualization on Decision Making. unpublished masters thesis, Geography, Arizona State University, Tempe.
Evans, B. J. 1997. Dynamic display of spatial data reliability: does it benefit the map user? Computers & Geosciences 23 (4):409-422.
Gershon, N. 1998. Short Note: Visualization of an Imperfect World. IEEE Computer Graphics and Applications 18 (4):43-45.
Hunter, G. J., and M. F. Goodchild. 1995. Dealing with error in spatial databases: A simple case study. Photogrammetric Engineering & Remote Sensing 61 (5):529-537.
Leitner, M., and B. P. Buttenfield. 2000. Guidelines for display of attribute certainty. Cartography and Geographic Information Sciences 27 (1):3-14.
Lucieer, A., and M. J. Kraak. 2004. Interactive and visual fuzzy classification of remotely sensed imagery for exploration of uncertainty. International Journal of Geographic Information Science 18 (5):491-512.
MacEachren, A. M. 1992. Visualizing Uncertain Information. Cartographic Perspectives 13:10-19.
MacEachren, A. M., and C. A. Brewer. 1995. Mapping health statistics: representing data reliability. Paper read at Proceedings of the 17th International Cartographic Conference, September 3-9, 1995, at Barcelona.
MacEachren, A. M., A. Robinson, S. Hopper, S. Gardner, R. Murray, M. Gahegan, and E. Hetzler. 2005. Visualizing geographic information uncertainty: what we know and what we need to know. Cartography and Geographic Information Sciences 32 (3):139-160.
Newman, T., and W. Lee. 2004. On visualizing uncertainty in volumetric data: techniques and their evaluation. Journal of Visual Languages & Computing 15:463-491.
Pang, A. T., C. M. Wittenbrink, and S. K. Lodha. 1997. Approaches to uncertainty visualization. The Visual Computer 13 (8):370-390.
Slocum, T. A., R. B. McMaster, F. C. Kessler, and H. H. Howard. 2004. Thematic Cartography and Geographic Visualization, 2nd ed. Upper Saddle River, NJ: Prentice Hall.