ABSTRACT
We investigate techniques for visualizing time series data and evaluate their effect in value comparison tasks. We compare line charts with horizon graphs - a space-efficient time series visualization technique - across a range of chart sizes, measuring the speed and accuracy of subjects' estimates of value differences between charts. We identify transition points at which reducing the chart height results in significantly differing drops in estimation accuracy across the compared chart types, and we find optimal positions in the speed-accuracy tradeoff curve at which viewers performed quickly without attendant drops in accuracy. Based on these results, we propose approaches for increasing data density that optimize graphical perception.
- Beattie, V., Jones, M.J. The impact of graph slope on rate of change judgements in corporate reports. ABACUS, 38(2):177--199, 2002.Google ScholarCross Ref
- Bertin, J. Sémiologie Graphique, Gauthier-Villars: Paris, 1967. English translation by W.J. Berg as Semiology of Graphics, University of Wisconsin Press: Madison, WI, 1983. Google ScholarDigital Library
- Byron, L., Wattenberg, M. Stacked Graphs - Geometry and Aesthetics. IEEE Trans. on Visualization and Comp. Graphics, 14(6):1245--1252, Nov/Dec 2008. Google ScholarDigital Library
- Cleveland, W.S., Diaconis, P., McGill, R. Variables on Scatterplots Look More Highly Correlated When the Scales are Increased. Science, 216(4550):1138--1141, Jun 1982.Google ScholarCross Ref
- Cleveland, W.S., McGill, R. Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods. Journal of the American Statistical Association, 79(387):531--554, Sep 1984.Google ScholarCross Ref
- Cleveland, W.S. Visualizing Information. Hobart Press. 1993.Google Scholar
- Few, S. Time on the Horizon. Visual Business Intelligence Newsletter, Jun/Jul 2008. Online at http://www.perceptualedge.com/articles/visual_business_intelligence/time_on_the_horizon.pdfGoogle Scholar
- Gillan, D.J., Callahan, A.B. A Componential Model of Human Interaction with Graphs: VI. Cognitive Engineering of Pie Graphs. Human Factors: The Journal of the Human Factors and Ergonomics Society. 42(4):566--591. Winter 2000.Google ScholarCross Ref
- Heer, J., Agrawala, M. Multi-Scale Banking to 45°. IEEE Trans. on Visualization and Comp. Graphics, 12(5):701--708, Sep/Oct 2006. Google ScholarDigital Library
- Heer, J., Viégas, F., Wattenberg, M. Voyagers and Voyeurs: Supporting Asynchronous Collaborative Information Visualization. Proc. ACM CHI, pp. 1029--1038, Apr 2007. Google ScholarDigital Library
- Heer, J., Robertson, G. Animated Transitions in Statistical Data Graphics. IEEE Trans. on Visualization and Comp. Graphics, 13(6):1240--1247, Nov/Dec 2007. Google ScholarDigital Library
- Keim, D.A. Designing Pixel-Oriented Visualization Techniques: Theory and Applications. IEEE Trans. on Visualization and Comp. Graphics, 6(1):59--78, 2000. Google ScholarDigital Library
- Lam, H., Munzer, T., Kincaid, R. Overview Use in Multiple Visual Information Resolution Interfaces. IEEE Trans. on Visualization and Comp. Graphics, 13(6):1278--1285, Nov/Dec 2007. Google ScholarDigital Library
- Lewandowsky, S., Spence, I. Discriminating Strata in Scatterplots. Journal of the American Statistical Association, 84(407):682--688, Sep 1989.Google ScholarCross Ref
- Lohse, J. A. Cognitive Model for the Perception and Understanding of Graphs. Proc. ACM CHI, pp. 137--144, Apr/May 1991. Google ScholarDigital Library
- Mackinlay, J.D. Automating the Design of Graphical Presentations of Relational Information. ACM Trans. on Graphics, 5(2):110--141, 1986. Google ScholarDigital Library
- Mackinlay, J.D., Hanrahan, P., Stolte, C. Show Me: Automatic Presentation for Visual Analysis. IEEE Trans. on Visualization and Comp. Graphics. 13(6):1137--1144, Nov/Dec 2007. Google ScholarDigital Library
- Palmer, S. Vision Science: Photons to Phenomenology. MIT Press, 1999.Google Scholar
- Robertson, G., Fernandez, R., Fisher, D., Lee, B., Stasko, J. Effectiveness of Animation in Trend Visualization. IEEE Trans. on Visualization and Comp. Graphics, 14(6):1325--1332, Nov/Dec 2008. Google ScholarDigital Library
- Rosling, H. TED 2006, http://gapminder.org/video/talks/ ted-2006-debunking-myth-about-the-third-world.htmlGoogle Scholar
- Saito, T., Miyamura H.N., Yamamoto, M., Saito,H., Hoshiya, Y., Kaseda, T. Two-Tone Pseudo-Coloring: Compact Visualization for One-Dimensional Data. Proc. IEEE InfoVis, pp. 173--180, Oct 2005. Google ScholarDigital Library
- Shneiderman, B. Tree visualization with tree-maps: 2-d space-filling approach. ACM Trans. on Graphics, 11(1):92--99, 1992. Google ScholarDigital Library
- Simkin, D., Hastie, R. An Information-Processing Analysis of Graph Perception. Journal of the American Statistical Association, 82(398):454--465, Jun 1987.Google ScholarCross Ref
- Spence, I., Lewandowsky, S. Displaying proportions and percentages. Applied Cognitive Psychology, 5:61--77, 1991.Google ScholarCross Ref
- Stasko, J., Zhang, E. Focus+Context Display and Navigation Techniques for Enhancing Radial, Space-Filling Hierarchy Visualizations. Proc. IEEE InfoVis, pp. 57--65, 2000. Google ScholarDigital Library
- Tremmel, L. The Visual Separability of Plotting Symbols in Scatterplots. Journal of Computational and Graphical Statistics, 4(2):101--112, Jun 1995.Google Scholar
- Tufte, E. The Visual Display of Quantitative Information. Graphics Press, 1983. Google ScholarDigital Library
- Tufte, E. Beautiful Evidence. Graphics Press, 2006. Google ScholarDigital Library
- Wattenberg, M., Kriss, J. Designing for Social Data Analysis. IEEE Trans. on Visualization and Comp. Graphics. 12(4):549--557, Jul/Aug 2005. Google ScholarDigital Library
- Wigdor, D., Shen, C., Forlines, C., Balakrishnan, R. Perception of Elementary Graphical Elements in Tabletop and Multi-Surface Environments. Proc. ACM CHI, pp. 473--482, Apr 2007. Google ScholarDigital Library
- Woodruff, A., Landay, J., Stonebraker, M. Constant Information Density Visualizations of Non-Uniform Distributions of Data. Proc. ACM UIST, pp. 19--28, 1998. Google ScholarDigital Library
Index Terms
- Sizing the horizon: the effects of chart size and layering on the graphical perception of time series visualizations
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