E3: Towards the metrication of graphical presentation techniques for large data sets | SpringerLink
Skip to main content
Springer Nature Link
Log in

E3: Towards the metrication of graphical presentation techniques for large data sets

  • Conference paper
  • First Online:
Human-Computer Interaction (EWHCI 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 753))

Included in the following conference series:

  • 137 Accesses

Abstract

Rapid advances in communications and computer technologies in recent years have provided users with greater access to large volumes of data from computer-based information systems. Whilst researchers have developed many novel techniques to overcome the problems associated with the presentation and navigation of large data sets on a limited display surface, the choice of a technique in a particular application remains very subjective. This paper proposes an evaluation framework E3 which aims to provide a basis for the comparison of different presentation techniques, given the nature and characteristics of the data to be presented, and the interpretation required. E3 focuses on three aspects of graphical data presentation: expressiveness, efficiency, and effectiveness. This framework lays the foundation for the development of a set of metrics to facilitate an objective assessment of presentation techniques.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. E. Anderson: A semi-graphical method for the analysis of complex problems, Technometrics, 2, pp. 287–292 (1960)

    Google Scholar 

  2. J. Bertin: Semiology of Graphics, translated by W.J. Berg, Milwaukee: University of Wisconson Press (1983)

    Google Scholar 

  3. S.V. Burger and M.D. Apperley: A multi-dimensional approach to interface evaluation. Proceedings of the IFIP Conference on Human Jobs and Computer Interface-WG 9. 1, pp. 205–222 (1991)

    Google Scholar 

  4. S.K. Card, G.G. Robertson and J.D. Mackinlay: The information visualiszer, and information workspace. Proceedings of CHI '91, pp. 181–188

    Google Scholar 

  5. S. Casner: A task-analytic approach to the automated design of graphic presentations. ACM Transactions of Graphics, 10, 2, pp. 111–151 (1991)

    Google Scholar 

  6. J.M. Chambers, W.S. Cleveland, B. Kleiner and P.A. Tukey: Graphical Methods for Data Analysis. Belmont: Wadsworth (1983)

    Google Scholar 

  7. H. Chernoff: The use of faces to represent points in k-dimensional space graphically. Journal of the American Statistical Association, 68, 342, pp. 361–368 (1973)

    Google Scholar 

  8. W.S. Cleveland and R. McGill: Graphical perception: theory, experimentation, and application to the development of graphical methods. Journal of the American Statistical Association, 79, 387, pp. 531–554 (1984)

    Google Scholar 

  9. H.T. Fisher: Mapping Information, Cambridge, Mass.: Abt books (1982)

    Google Scholar 

  10. G.W. Furnas: Generalized fisheye views. Proceedings of CHI '86, pp. 16–23 (1986)

    Google Scholar 

  11. R.M. Goldwyn, H.P. Friedman and T.H. Siegel: Iteration and interaction in computed data bank analysis. Case study in Physiological classification and assessment of the critically ill. Computers in Biomedical Research, 4, pp. 607–622 (1971)

    Google Scholar 

  12. B. Kleiner and J.A. Harligan: Representing points in many dimensions by trees and castles. Journal of the American Statistical Association, 76, 374, pp. 260–276 (1981)

    Google Scholar 

  13. J. Larkin and H. Simon: Why a diagram is (sometimes) worth 10,000 words. Cognitive Science, 11, pp. 65–99 (1987)

    Google Scholar 

  14. Y.K. Leung: Human-computer interface techniques for map-based diagrams. In Designing and using Human-Computer Interfaces and Knowledge Based Systems, (Eds. Salvendy, G. and Smith, M.). Amsterdam: Elsevier pp. 361–368 (1989)

    Google Scholar 

  15. Y.K. Leung: A comparative study of graphical user interfaces for topological maps, Massey University School of Mathematical & Information Sciences Report Series A No. 92/1 (1992)

    Google Scholar 

  16. Y.K. Leung and M.D. Apperley: A taxonomy of distortion-oriented techniques for graphical data presentation. Proceedings of 5th International Conference on Human Computer Interaction, Orlando, Florida (1993)

    Google Scholar 

  17. J.D. Mackinlay: Automating the design of graphical presentations of relational information. ACM Transactions on Graphics, 5, 2, pp. 110–141 (1987)

    Google Scholar 

  18. J.D. Mackinlay, G.G. Robertson and S.K. Card: The Perspective Wall: detail and context smoothly integrated. Proceedings of CHI'91, pp.173–179 (1991)

    Google Scholar 

  19. S.F. Roth and J.A. Maltis: Automating the presentation of information. Proceedings of the Conference on Artificial Intelligence Applications, IEEE Press, pp. 90–97 (1991)

    Google Scholar 

  20. M. Sarkar and M.H. Brown: Graphical fisheye view of graphs. Proceedings of CHI'92, p83–91 (1992)

    Google Scholar 

  21. C.F. Schmid: Statistical Graphics. New York: John Wiley (1983)

    Google Scholar 

  22. J.A. Sparrow: Graphical displays in information systems: some data properties influencing the effectiveness of alternative forms. Behaviour & Information Technology, 8, 1, pp. 43–56 (1989)

    Google Scholar 

  23. R. Spence and M.D. Apperley: Data base navigation: an office environment for the professional. Behaviour and Information Technology, 1, 1, pp. 43–54 (1982)

    Google Scholar 

  24. S.S. Stevens: On theory of scales of measurement. Science, 103, 2684, pp. 677–680 (1946)

    Google Scholar 

  25. I.E. Sutherland: SKETCHPAD: A man-machine graphical communications system. AFIPS Spring Joint Computer Conference, pp.329–346 (1963)

    Google Scholar 

  26. E.R. Tufte: The Visual Display of Quantitative Information. Cheshire, Connecticut: Graphics Press (1983)

    Google Scholar 

  27. E.R. Tufte: Envisioning Information. Cheshire, Connecticut: Graphics Press (1990)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Centre for Systems Methodologies Department of Computer Science, Swinburne University of Technology, 3122, Victoria, Australia

    Ying K. Leung

  2. School of Mathematical and Information Sciences, Massey University, Palmerston North, New Zealand

    Mark D. Apperley

Authors
  1. Ying K. Leung
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mark D. Apperley
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Leonard J. Bass Juri Gornostaev Claus Unger

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Leung, Y.K., Apperley, M.D. (1993). E3: Towards the metrication of graphical presentation techniques for large data sets. In: Bass, L.J., Gornostaev, J., Unger, C. (eds) Human-Computer Interaction. EWHCI 1993. Lecture Notes in Computer Science, vol 753. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57433-6_44

Download citation

  • DOI: https://doi.org/10.1007/3-540-57433-6_44

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57433-0

  • Online ISBN: 978-3-540-48152-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation