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Gestaltlines

Published: 17 June 2013 Publication History

Abstract

We propose a general technique to visualize multivariate data sequences. It is based on a symbiotic combination of three powerful concepts from information visualization: sparklines, glyphs and gestalt theory. By visualizing several well-known data sets in new ways we first demonstrate how explicit consideration of gestalt principles can be used to leverage visual perception capabilities for the identification of patterns such as trends, periodicities, change points, or outliers. A more detailed case study with complex and noisy data from a psychological experiment then demonstrates how basic design ideas for gestaltlines can be applied in less controlled, and thus more realistic, situations. The case study is complemented with reports on feedback from domain experts and a user study, both indicating that gestaltlines can be a convenient and valid means to explore and communicate patterns in micro-visualizations.

References

[1]
{AB90} Azzalini A., Bowman A.: A look at some data on the old faithful geyser. Journal of the Royal Statistical Society: Series C (Applied Statistics) 39, 3 (1990), 357--365. 4
[2]
{AH06} Agrawala M., Heer J.: Multi-scale banking to 45 degrees. IEEE Transactions on Visualization and Computer Graphics 12, 5 (2006), 701--708. 2
[3]
{BN11} Brandes U., Nick B.: Asymmetric relations in longitudinal social networks. IEEE Transactions on Visualization and Computer Graphics 17, 12 (2011), 2283--2290. 1
[4]
{CCKT83} Chambers J. M., Cleveland W. S., Kleiner B., Tukey P. A.: Graphical Methods for Data Analysis. Chapman and Hall, 1983. 2
[5]
{CDT02} Chang D., Dooley L., Tuovinen J. E.: Gestalt theory in visual screen design: a new look at an old subject. In Proceedings of the 7th World Conference on Computers in Education (2002), CRPIT '02, pp. 5--12. 2
[6]
{CE97} Chuah M. C., Eick S. G.: Glyphs for software visualization. In Proceedings of the 5th International Workshop on Program Comprehension (1997), pp. 183--191. 3
[7]
{Cle93} Cleveland W. S.: Visualizing Data. Hobart Press, 1993. 2
[8]
{CM84} 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 (1984), 531--554. 2
[9]
{EA10} Esponda-Argüero M.: Techniques for visualizing data structures in algorithmic animations. Information Visualization 9, 1 (2010), 31--46. 2
[10]
{FA10} Frank A., Asuncion A.: UCI machine learning repository, 2010. URL: http://archive.ics.uci.edu/ml. 5
[11]
{FCI05} Fanea E., Carpendale S., Isenberg T.: An interactive 3d integration of parallel coordinates and star glyphs. In Proceedings of the 2005 IEEE Symposium on Information Visualization (2005), pp. 149--156. 3
[12]
{Few06} Few S.: Information Dashboard Design: The Effective Visual Communication of Data. O'Reilly, 2006. 2
[13]
{FFM* 13} Fuchs J., Fischer F., Mansmann F., Bertini E., Isenberg P.: Evaluation of alternative glyph designs for time series data in a small multiple setting. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (2013), CHI '13. 9
[14]
{FM06} Flieder K., Mödritscher F.: Foundations of a pattern language based on gestalt principles. In Extended Abstracts on Human Factors in Computing Systems (2006), CHI EA '06, pp. 773--778. 2
[15]
{GWS11} Greenhill B. D., Ward M. J., Sacks A. E.: The separation plot: A new visual method for evaluating the fit of binary models. American Journal of Political Science 55, 4 (2011), 991--1002. 9
[16]
{HB10} Heer J., Bostock M.: Crowdsourcing graphical perception: using mechanical turk to assess visualization design. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (2010), CHI '10, pp. 203--212. 2
[17]
{HBE95} Healey C. G., Booth K. S., Enns J. T.: Visualizing real-time multivariate data using preattentive processing. ACM Transactions on Modeling and Computer Simulation 5, 3 (1995), 190--221. 3
[18]
{HPU01} Horn W., Popow C., Unterasinger L.: Support for fast comprehension of ICU data: visualization using metaphor graphics. Methods of Information in Medicine 40, 5 (2001), 421--424. 3
[19]
{IHS06} Ihler A., Hutchins J., Smyth P.: Adaptive event detection with time-varying poisson processes. In Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2006), KDD '06, pp. 207--216. 5
[20]
{KM01} Kosara R., Miksch S.: Metaphors of movement: a visualization and user interface for time-oriented, skeletal plans. Artificial Intelligence in Medicine 22, 2 (2001), 111--131. 3
[21]
{Mac86} Mackinlay J.: Automating the design of graphical presentations of relational information. ACM Transactions on Graphics 5, 2 (1986), 110--141. 2
[22]
{Odu71} Odum E.: Fundamentals of Ecology, 3rd ed. Saunders, 1971. 3
[23]
{Sed98} Sedgewick R.: Algorithms in C. Addison-Wesley, 1998. 3
[24]
{Ste08} Sternberg R. J.: Cognitive Psychology, 5th ed. Wadsworth Publishing, 2008. 1, 2
[25]
{Ste10} Steffen A.: Decision-making in the (stressed) brain. Dissertation. Available at KOPS., 2010. URL: http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-126600. 5
[26]
{TGH12} Talbot J., Gerth J., Hanrahan P.: An empirical model of slope ratio comparisons. IEEE Transactions on Visualization and Computer Graphics 18, 12 (2012), 2613--2620. 9
[27]
{Tuf90} Tufte E. R.: Envisioning Information. Graphics Press, 1990. 6
[28]
{Tuf06} Tufte E.: Beautiful Evidence. Graphics Press, 2006. 1, 2, 3
[29]
{War02} Ward M. O.: A taxonomy of glyph placement strategies for multidimensional data visualization. Information Visualization 1, 3/4 (2002), 194--210. 1, 2
[30]
{War04} Ware C.: Information Visualization: Perception for Design, 2nd ed. Morgan Kaufmann, 2004. 1, 2
[31]
{Wer23} Wertheimer M.: Untersuchungen zur Lehre von der Gestalt II. Psychologische Forschung 4 (1923), 301--350. 2
[32]
{Yok09} Yokum T.: Sparklines: The Tom Thumb of Statistical Graphs. Foresight: The International Journal of Applied Forecasting 14 (2009), 48--50. 2

Cited By

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  • (2024)The Effect of Visual Aids on Reading Numeric Data TablesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345640331:1(995-1005)Online publication date: 9-Sep-2024
  • (2024)Path-Based Design Model for Constructing and Exploring Alternative VisualisationsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345632331:1(1158-1168)Online publication date: 10-Sep-2024
  • (2020)A Study on Real-Time Visualizations During Sports Activities on SmartwatchesProceedings of the 19th International Conference on Mobile and Ubiquitous Multimedia10.1145/3428361.3428409(18-31)Online publication date: 22-Nov-2020
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    Information & Contributors

    Information

    Published In

    cover image Guide Proceedings
    EuroVis '13: Proceedings of the 15th Eurographics Conference on Visualization
    June 2013
    508 pages

    Sponsors

    • KAUST: King Abdullah University of Science and Technology
    • UFZ: Helmholtz Centre for Environmental Research
    • NVIDIA
    • IRTG: DFG's International Research Training Group 1131
    • Otto-von-Guericke University, Magdeburg, Germany: Otto-von-Guericke University, Magdeburg, Germany
    • Uinv. Leipzig: Universität Leipzig
    • DFG: German Research Council
    • IBM: IBM

    Publisher

    The Eurographs Association & John Wiley & Sons, Ltd.

    Chichester, United Kingdom

    Publication History

    Published: 17 June 2013

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    View all
    • (2024)The Effect of Visual Aids on Reading Numeric Data TablesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345640331:1(995-1005)Online publication date: 9-Sep-2024
    • (2024)Path-Based Design Model for Constructing and Exploring Alternative VisualisationsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345632331:1(1158-1168)Online publication date: 10-Sep-2024
    • (2020)A Study on Real-Time Visualizations During Sports Activities on SmartwatchesProceedings of the 19th International Conference on Mobile and Ubiquitous Multimedia10.1145/3428361.3428409(18-31)Online publication date: 22-Nov-2020
    • (2020)Visual Encodings for Networks with Multiple Edge TypesProceedings of the 2020 International Conference on Advanced Visual Interfaces10.1145/3399715.3399827(1-9)Online publication date: 28-Sep-2020
    • (2020)Interaction Techniques for Visual Exploration Using Embedded Word-Scale VisualizationsProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376842(1-13)Online publication date: 21-Apr-2020
    • (2017)Empirically Measuring Soft Knowledge in VisualizationComputer Graphics Forum10.1111/cgf.1316936:3(73-85)Online publication date: 1-Jun-2017
    • (2015)Exploring the Effect of Word-Scale Visualizations on Reading BehaviorProceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems10.1145/2702613.2732778(1827-1832)Online publication date: 18-Apr-2015

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