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Reevaluating stereo and motion cues for visualizing graphs in three dimensions

Published:26 August 2005Publication History

ABSTRACT

It has been known for some time that larger graphs can be interpreted if viewed in 3D than in 2D. Both kinetic depth cues and stereoscopic depth cues increase the size of the structure that can be interpreted. However, prior studies were carried out using displays that provided a level of detail far short of what the human visual system is capable of resolving. This is especially problematic because human stereoscopic vision is known to be a super-acuity, it operates best under conditions where fine details are present. Therefore we undertook a graph comprehension study using a very high resolution stereoscopic display. We examined the effect of stereo, kinetic depth and using 3D tubes versus lines to display the links. The results showed a much greater benefit for 3D viewing than previous studies. For example, with both motion and depth cues, unskilled observers could see paths between nodes in 333 node graphs with a better than 10% error rate. Skilled observers could see up to a 1000 node graph with less than a 10% error rate. This represented an order of magnitude increase over 2D display. These findings are discussed in terms of their implications for information display.

References

  1. Arthur, K, Booth, K. S. and Ware, C. 1993. Evaluating Human Performance for Fishtank Virtual Reality. ACM Transactions on Information Systems, 11(3), 239--265. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Campbell, F. W. and Green, D. G. 1965. Monocular versus binocular visual acuity. Nature, 208, 191--192.Google ScholarGoogle ScholarCross RefCross Ref
  3. Frisby, J. P., Buckley, D., and Duke, P. A. 1966. Evidence for recovery of lengths of real objects seen with natural stereo viewing. Perception, 25, 129--154.Google ScholarGoogle ScholarCross RefCross Ref
  4. di Battista G, Eades P, Tamassia R, Tollis IG. Graph Drawing: Algorithms for the Visualization of Graphs. Prentice-Hall Englewood 1999; Cliffs, NJ. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Fructerman T, Reingold E. 1991. Graph drawing by force-directed placement, Software Practice and Experience 21(11): 1129--1164. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Howard, I. P. and Rogers, B. J. 1995. Binocular Vision and Stereopsis. Oxford Psychology Series No 29. Oxford University Press. Oxford.Google ScholarGoogle Scholar
  7. Huang ML, Eades, P, Wang, 1998. Online animated visualization of huge graphs using a modified spring algorithm. Journal of Visual Languages and Computing 9(6): 623--645.Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Kleiberg E, van d Wetering van Wijk, JJ. 2001. Botanical visualization of huge hierarchies. IEEE Symposium on Information Visualization, (San Diego, CA), 87--94. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. van Ee, R., and Schor, C. M. 2000. Unconstrained stereoscopic matching of lines. Vision Research, 40, 151--162.Google ScholarGoogle ScholarCross RefCross Ref
  10. Munzner, T., Guimbretière, F and Robertson, G. 1999. Constellation: A visualization tool for linguistic queries for MindNet. Proc. IEEE Symposium on Information Visualization. October 25--26 1999, San Francisco, CA, 1999, 132--135. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Munzner, T. 1997. H3: Laying out Large Directed Graphs in 3D Hyperbolic Space. Proc. IEEE Symposium on Information Visualization. 2--10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Norman, J. F. Todd, J. T. Perotti, V. I and Tittle, J. S. 1996. The visual perception of 3-D length. Journal of Experimental Psychology: Human Perception and Performance. 22, 173--186.Google ScholarGoogle ScholarCross RefCross Ref
  13. Parker, G., Franck, G., and Ware, C. 1998. Visualization of Large Nested Graphs in 3D: Navigation and Interaction. Journal of Visual Languages and Computing. 9, 299--317.Google ScholarGoogle ScholarCross RefCross Ref
  14. Plaisant C, Grosjean J, Bederson BB. 2002. SpaceTree: Supporting exploration in a large node-link tree, design evolution and empirical evaluation. IEEE Symposium on Information Visualization (Boston, MA). 57--64. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Robertson, G., Mackinlay, J. D. and Card. W. 1993. Information Visualization using 3D interactive animation. Communications of the ACM. 36(4)57--71. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Rogers, B. and Cagnello, R. 1989. Disparity curvatures and the perception of three-dimensional surfaces. Nature 339:137--139.Google ScholarGoogle ScholarCross RefCross Ref
  17. Sollenberger, R. L. and Milgram, P. 1993. The effects of stereoscopic and rotational displays in a three-dimensional path-tracing task. Human Factors 35(3) 483--500.Google ScholarGoogle ScholarCross RefCross Ref
  18. Tyler, C. 1975. Spatial organization of binocular disparity sensitivity. Vision Research 15, 583--590.Google ScholarGoogle ScholarCross RefCross Ref
  19. Uumori, K. and Nishida, S. 1994. The dynamics of the visual system in combining conflicting KDE and binocular stereopsis cues. Perception and Psychophysics, 55(5), 526--536.Google ScholarGoogle ScholarCross RefCross Ref
  20. Wallach H., and O'Connell, D. N. 1953. The kinetic depth effect. Journal of Experimental Psychology, 45:205--217.Google ScholarGoogle ScholarCross RefCross Ref
  21. Ware, C. Arthur, K. and Booth, K. S. 1993. Fishtank Virtual Reality. INTERCHI'93 Proceedings 37--42. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Ware, C. and Bobrow, R. 2005. Supporting visual queries on medium-sized node-link diagram. Information Visualization. 4, 49--58. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Ware, C. and Franck, G. 1996. Evaluating Stereo and Motion Cues for Visualizing Information Nets in Three Dimensions. ACM Transactions on Graphics. 15(2) 121--139. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Wills G. J. 1999. NichWorks: Interactive visualization of very large graphs. Journal of Computational and Graphical Statistics 8(2) 190--212.Google ScholarGoogle ScholarCross RefCross Ref
  25. Wheatstone, C. 1838. Contributions to the physiology of vision. Part the first. On some remarkable and hitherto unobserved phenomena of binocular vision. Philosophical Transactions of the Royal Society. 128, 371--394.Google ScholarGoogle ScholarCross RefCross Ref
  26. Wills, G. J. (1999) NicheWorks: Interactive Visualization of very large graphs. Journal of computational and Graphical Statistics, 8(2) 190--212.Google ScholarGoogle Scholar

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        cover image ACM Conferences
        APGV '05: Proceedings of the 2nd symposium on Applied perception in graphics and visualization
        August 2005
        187 pages
        ISBN:1595931392
        DOI:10.1145/1080402

        Copyright © 2005 ACM

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        Publication History

        • Published: 26 August 2005

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