Visual quality metrics and human perception: An initial study on 2D projections of large multidimensional data

Proceedings of the Workshop on Advanced Visual Interfaces AVI

Volumn , Issue , 2010, Pages 49-56

  Tatu, Andrada ^a   Bak, Peter ^a   Bertini, Enrico ^a   Keim, Daniel ^a   Schneidewind, Joern ^b  

^a UNIVERSITY OF KONSTANZ   (Germany)

^b Intelligence Center Muenchen   (Germany)

Author keywords

User study; Visual quality metrics

Indexed keywords

2D PROJECTIONS; AUTOMATIC SELECTION; HIGH-DIMENSIONAL; HUMAN DETECTION; HUMAN PERCEPTION; MULTIDIMENSIONAL DATA; SCATTER PLOT MATRIX; SCATTER PLOTS; USER STUDY; VISUAL QUALITY METRICS;

FACE RECOGNITION;

IMAGE QUALITY;

EID: 77957961693     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1842993.1843002     Document Type: Conference Paper

References (19)

1. D. Asimov. The grand tour: a tool for viewing multidimensional data. Journal on Scientific and Statistical Computing, 6(1):128-143, 1985.
2. E. Bertini and G. Santucci. Give chance a chance: modeling density to enhance scatter plot quality through random data sampling. Information Visualization, 5(2):95-110, 2006.
3. D. B. Carr, R. J. Littlefield, and W. L. Nichloson. Scatterplot matrix techniques for large n. In Proceedings of the Seventeenth Symposium on the interface of computer sciences and statistics on Computer science and statistics, pages 297-306, New York, NY, USA, 1986. Elsevier North-Holland, Inc.
4. J. Friedman and J. Tukey. A projection pursuit algorithm for exploratory data analysis. Computers, IEEE Transactions on, C-23(9):881-890, Sept. 1974.
5. S. Haroz and K.-L. Ma. Natural visualization. In Proceedings of Eurographics Visualization Symposium, pages 43-50, May 2006.
6. C. G. Healey, K. S. Booth, and J. T. Enns. High-speed visual estimation using preattentive processing. ACM Trans. Comput.-Hum. Interact., 3(2):107-135, 1996.
7. C. G. Healey and J. T. Enns. Building perceptual textures to visualize multidimensional datasets. In VIS '98: Proceedings of the conference on Visualization '98, pages 111-118, Los Alamitos, CA, USA, 1998. IEEE Computer Society Press.
8. P. J. Huber. Projection pursuit. The Annals of Statistics, 13(2):435-475, 1985.
9. A. Inselberg and B. Dimsdale. Parallel coordinates: a tool for visualizing multi-dimensional geometry. In VIS '90: Proceedings of the 1st conference on Visualization '90, pages 361-378, Los Alamitos, CA, USA, 1990. IEEE Computer Society Press.
10. j. Johansson, C. Forsell, M. Lind, and M. Cooper. Perceiving patterns in parallel coordinates: determining thresholds for identification of relationships. Information Visualization, 7(2):152-162, 2008.
11. S. Johansson and J. Johansson. Interactive dimensionality reduction through user-defined combinations of quality metrics. IEEE Transactions on Visualization and Computer Graphics, 15(6):993-1000, 2009.
12. Y. Koren and L. Carmel. Visualization of labeled data using linear transformations. Information Visualization, IEEE Symposium on, 0:16, 2003.
13. W. Peng, M. O. Ward, and E. A. Rundensteiner. Clutter reduction in multi-dimensional data visualization using dimension reordering. In INFOVIS '04: Proceedings of the IEEE Symposium on Information Visualization, pages 89-96, Washington, DC, USA, 2004. IEEE Computer Society.
14. R. Rosenholtz, Y. Li, J. Mansfield, and Z. Jin. Feature congestion: a measure of display clutter. In CHI '05: Proceedings of the SIGCHI conference on Human factors in computing systems, pages 761-770, New York, NY, USA, 2005. ACM.
15. J. Schneidewind, M. Sips, and D. Keim. Pixnostics: Towards measuring the value of visualization. Symposium On Visual Analytics Science And Technology, 0:199-206, 2006.
16. M. Sips, B. Neubert, J. P. Lewis, and P. Hanrahan. Selecting good views of high-dimensional data using class consistency. Computer Graphics Forum (Proc. EuroVis 2009), 28(3):831-838, 2009.
17. A. Tatu, G. Albuquerque, M. Eisemann, J. Schneidewind, H. Theisel, M. Magnor, and D. Keim. Combining automated analysis and visualization techniques for effective exploration of high dimensional data. IEEE Symposium on Visual Analytics Science and Technology, pages 59-66, 2009.
18. C. Ware. Information Visualization: Perception for Design. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2004.
19. L. Wilkinson, A. Anand, and R. Grossman. Graph-theoretic scagnostics. In Proceedings of the IEEE Symposium on Information Visualization, pages 157-164, 2005. (Pubitemid 44500051)