ACM Home Page
Please provide us with feedback. Feedback
Cognitive evaluation of uncertainty visualization methods for decision making
Full text PdfPdf (97 KB)
Source
Applied Perception in Graphics and Visualization; Vol. 253 archive
Proceedings of the 4th symposium on Applied perception in graphics and visualization table of contents
Tubingen, Germany
POSTER SESSION: Posters table of contents
Pages: 133 - 133  
Year of Publication: 2007
ISBN:978-1-59593-670-7
Author
Maria Riveiro  University of Skövde, Sweden
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 12,   Downloads (12 Months): 73,   Citation Count: 0
Additional Information:

abstract   references   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1272582.1272610
What is a DOI?

ABSTRACT

Uncertainty constitutes a major obstacle to effective decision making. This work presents perceptual and cognitive principles from Tufte, Chambers and Bertin as well as results from user experiments for the theoretical evaluation of uncertainty visualization techniques that aid decision making. These principles can be used in future theoretical evaluations of existing or newly developed uncertainty visualization methods before usability testing with actual users.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
Bisantz, A. M., Finger, R., Seong, Y., and Llinas, J. 1999. Human performance and data fusion based decision aids. In Proc. 2nd Int. Conference on Information Fusion.
 
3
Chambers, J., Cleveland, W., Kleiner, B., and Tukey, P. 1983. Graphical Methods for Data Analysis. Chapman and Hall, New York.
 
4