ACM Home Page
Please provide us with feedback. Feedback
Animated visual vibrations as an uncertainty visualisation technique
Full text PdfPdf (287 KB)
Source Computer graphics and interactive techniques in Australasia and South East Asia archive
Proceedings of the 2nd international conference on Computer graphics and interactive techniques in Australasia and South East Asia table of contents
Singapore
SESSION: Visualisation I table of contents
Pages: 84 - 89  
Year of Publication: 2004
ISBN:1-58113-883-0
Author
Ross Brown  Queensland University of Technology, Queensland, Australia
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 18,   Downloads (12 Months): 40,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/988834.988849
What is a DOI?

ABSTRACT

Research into the visualisation of imprecise data is a relatively new field in visualisation. Work is beginning to appear detailing the process of visualising uncertainty in data. Continuing previous work by the author, this paper seeks to extend techniques used to visualise uncertainty from the spatial to the temporal domain, by using visual vibrations to indicate the level of imprecision at a visualised data point. The paper contains an analysis of the present visual features used to indicate imprecision, and then details a methodology for using visual vibrations to display the uncertainty contained in visualised data. Novel additions include addressing chart junk issues outlined by Tufte, additions of perceptual factors and extension to stereo vision applications.


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
BROWN, R. AND PHAM, B. 2003. Visualisation of Fuzzy Decision Support Information: A Case Study. In IEEE International Conference on Fuzzy Systems, IEEE Press, St Louis, USA, 601--606.
 
3
 
4
 
5
HANKS, P., Ed. 1989. The Collins Concise Dictionary of the English Language. London, Collins.
 
6
 
7
 
8
OSG 2003. Open Scene Graph Web Site, <u>http://openscenegraph.sourceforge.net.</u>
 
9
OUCHI, H. 1977. Japanese Optical and Geometrical Art. New York, USA, Dover.
 
10
PANG, A. 2001. Visualizing Uncertainty in Geo-spatial Data, <u>http://citeseer.nj.nec.com/pang01visualizing.html.</u>
11
 
12
POSNER, M. AND RAICHLE, M. 1997. Images of Mind. New York, USA, Scientific American Library.
 
13
 
14
TREISMAN, A. AND GELADE, G. 1980. A Feature-Integration Theory of Attention. Cognitive Psychology 12, 97--136.
 
15
 
16
WANDELL, B. 1995. Foundations of Human Vision. Sunderland, USA, Sinauer.