skip to main content
10.1145/1185448.1185612acmotherconferencesArticle/Chapter ViewAbstractPublication Pagesacm-seConference Proceedingsconference-collections
Article

A system for investigating characteristics that make effective visualizations

Published: 10 March 2006 Publication History

Abstract

We describe SSEA, a System for Studying the Effectiveness of Animations. It was created as a testing environment for studying the effects of various attributes in visualization design on viewer comprehension. Researchers can create a series of animations in SSEA with a design characteristic in mind. SSEA allows these animations to be viewed while recording the viewer's interactions and responses to questions about the underlying algorithm. At the conclusion of running all experiments, the researchers can examine the log files generated, and performe analysis of the responses and timings with respect to the attribute being examined.

References

[1]
Bartram, L. R. "Enhancing Information Visualization with Motion." Doctoral, Simon Fraser University, 2001.
[2]
Faraday, P. and A. Sutcliffe. An Empirical study of Attending and Comprehending Multimedia Presentations. In Proceedings of ACM Multimedia, Boston, MA, USA, 1996.
[3]
Hansen, S., N. H. Narayanan and M. Hegarty. "Designing Educationally Effective Algorithm Visualizations." Journal of Visual Languages and Computing, 2002, 13(2): 291--317.
[4]
Hundhausen, C. D., S. A. Douglas and J. T. Stasko. "A Meta-Study of Algorithm Visualization Effectiveness." Journal of Visual Languages and Computing, 2002, 13(3): 259--290.
[5]
Khuri, S. Designing Effective Algorithm Visualizations. In Proceedings of First Program Visualization Workshop, Porvoo, Finland, 2001.
[6]
Naps, T., G. Robling, J. Anderson, S. Cooper, et al. Evaluating the educational impact of visualization. Working group reports from ITiCSE on Innovation and technology in computer science education, Thessaloniki, Greece, ACM Press, 2003.
[7]
Narayanan, N. H. and M. Hegarty. "Multimedia design for communication of dynamic information." International Journal of Human-Computer Studies, 2002, 57(4): 279--315.
[8]
Scaife, M. and Y. Rogers. "External cognition: how do graphical representations work?" International Journal of Human-Computer Studies, 1996, 45: 185--213.
[9]
Sears, C. R. and Z. W. Pylyshyn. "Multiple Object Tracking and Attentional Processing." Canadian Journal of Experimental Psychology, 2000, 54(1): 1--14.
[10]
Tudoreanu, M. E., R. Wu, A. Hamilton-Taylor and E. Kraemer. Empirical Evidence that Algorithm Animation Promotes Understanding of Distributed Algorithms. In Proceedings of the IEEE 2002 Symposia on Human Centric Computing Languages and Environments (HCC '02), IEEE Computer Society, 2002.

Index Terms

  1. A system for investigating characteristics that make effective visualizations

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Other conferences
      ACMSE '06: Proceedings of the 44th annual ACM Southeast Conference
      March 2006
      823 pages
      ISBN:1595933158
      DOI:10.1145/1185448
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 10 March 2006

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. algorithm animation
      2. empirical studies
      3. visualization design
      4. visualization system

      Qualifiers

      • Article

      Conference

      ACM SE06
      ACM SE06: ACM Southeast Regional Conference
      March 10 - 12, 2006
      Florida, Melbourne

      Acceptance Rates

      ACMSE '06 Paper Acceptance Rate 100 of 244 submissions, 41%;
      Overall Acceptance Rate 502 of 1,023 submissions, 49%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • 0
        Total Citations
      • 130
        Total Downloads
      • Downloads (Last 12 months)0
      • Downloads (Last 6 weeks)0
      Reflects downloads up to 20 Jan 2025

      Other Metrics

      Citations

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media