The Community for Technology Leaders
RSS Icon
Issue No.06 - November/December (2010 vol.16)
pp: 935-942
Stephan Diehl , University of Trier
Fabian Beck , University of Trier
Michael Burch , University of Stuttgart
Radial visualizations play an important role in the information visualization community. But the decision to choose a radial coordinate system is rather based on intuition than on scientific foundations. The empirical approach presented in this paper aims at uncovering strengths and weaknesses of radial visualizations by comparing them to equivalent ones in Cartesian coordinate systems. We identified memorizing positions of visual elements as a generic task when working with visualizations. A first study with 674 participants provides a broad data spectrum for exploring differences between the two visualization types. A second, complementing study with fewer participants focuses on further questions raised by the first study. Our findings document that Cartesian visualizations tend to outperform their radial counterparts especially with respect to answer times. Nonetheless, radial visualization seem to be more appropriate for focusing on a particular data dimension.
radial visualization, user study, visual memory
Stephan Diehl, Fabian Beck, Michael Burch, "Uncovering Strengths and Weaknesses of Radial Visualizations---an Empirical Approach", IEEE Transactions on Visualization & Computer Graphics, vol.16, no. 6, pp. 935-942, November/December 2010, doi:10.1109/TVCG.2010.209
[1] K. Andrews and J. Kasanicka, A comparative study of four hierarchy browsers using the Hierarchical Visualisation Testing Environment HVTE). In 11th International Conference on Information Visualisation, IV 2007, July 2007, Zürich, Switzerland, pages 81–86. IEEE Computer Society, 2007.
[2] M. Burch, F. Beck, and S. Diehl, Timeline trees: visualizing sequences of transactions in information hierarchies. In Proceedings of Advanced Visual Interfaces, pages 75–82, 2008.
[3] M. Burch, F. Bott, F. Beck, and S. Diehl, Cartesian vs. Radial – A Comparative Evaluation of Two Visualization Tools. In Proceedings of 4th International Symposium on Visual Computing (ISVC08), Las Vegas, Nevada, December 2008.
[4] M. Burch and S. Diehl, TimeRadarTrees: Visualizing dynamic compound digraphs. Computer Graphics Forum, 27 (3): 823–830, 2008.
[5] W. S. Cleveland and R. McGill, An experiment in graphical perception. International Journal of Man-Machine Studies, 25 (5): 491–501, 1986.
[6] A. Cockburn, Revisiting 2D vs 3D implications on spatial memory. In AUIC '04: Proceedings of the 5th Australasian User Interface Conference, pages 25–31, Darlinghurst, Australia, 2004. Australian Computer Society, Inc.
[7] G. M. Draper, Y. Livnat, and R. F. Riesenfeld, A Survey of Radial Methods for Information Visualization. IEEE Transactions on Visualization and Computer Graphics, 15 (5): 759–776, 2009.
[8] Z. Eviatar, Reading direction and attention - effects on lateralized ignoring. Brain and Cognition, 29 (2): 137–150, 1995.
[9] P. Hoffman, G. Grinstein, K. Marx, I. Grosse, and E. Stanley, DNA visual and analytic data mining. In Proceedings of Eigth Conference on Visualization, pages 437–ff, 1997.
[10] A. Kobsa, User experiments with tree visualization systems. In 10th IEEE Symposium on Information Visualization InfoVis 2004), October 2004, Austin, TX, USA, pages 9–16. IEEE Computer Society, 2004.
[11] P. J. Lewi, Speaking of graphics. http://www.datascope.besog.htm, 2008.
[12] F. Nightingale, Notes on matters affecting the health, efficiency, and hospital administrations of the british army: Founded chiefly on the experience of the late war, 1858.
[13] W. Playfair, The statistical breviary; shewing, on a principle entirely new, the resources of every state and kingdom in europe, 1801.
[14] M. Schonlau and E. Peters, Graph comprehension: An experiment in displaying data as bar charts, pie charts and tables with and without the gratuitous 3rd dimension. Social Science Research Network Working Paper Series, September 2008.
[15] J. T. Stasko, R. Catrambone, M. Guzdial, K. Mcdonald, An evaluation of space-filling information visualizations for depicting hierarchical structures. International Journal of Human Computer Studies, 53 (5): 663–694, 2000.
[16] M. Tavanti and M. Lind, 2D vs 3D, implications on spatial memory. In IEEE Symposium on Information Visualization 2001 INFOVIS'01), pages 139+, Washington, DC, USA, 2001. IEEE Computer Society.
[17] H. Wang, T. R. Johnson, Y. Sun, and J. Zhang, Object location memory: The interplay of multiple representations. Memory & Cognition, 33 (7): 1147–1159, October 2005.
[18] C. Ware, Visual Thinking for Design. Morgan Kaufman, 2008.
[19] C. Winkelholz, C. Schlick, and M. Brütting, The effect of structure on object-location memory. In Proceedings of the 26th Annual Meeting of the Cognitive Science Society, pages 1–6, 2004.
16 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool