skip to main content
10.1145/1054972.1054983acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
Article

Tuning and testing scrolling interfaces that automatically zoom

Published:02 April 2005Publication History

ABSTRACT

Speed dependent automatic zooming (SDAZ) is a promising refinement to scrolling in which documents are automatically zoomed-out as the scroll rate increases. By automatically zooming, the visual flow rate is reduced enabling rapid scrolling without motion blur. In order to aid SDAZ calibration we theoretically and empirically scrutinise human factors of the speed/zoom relationship. We then compare user performance with four alternative text-document scrolling systems, two of which employ automatic zooming. One of these systems, which we term 'DDAZ', is based on van Wijk and Nuij's recent and important theory that calculates optimal pan/zoom paths between known locations in 2D space. van Wijk and Nuij suggested that their theory could be applied to scrolling, but did not implement or test their formulaic suggestions. Participants in our evaluation (n=27) completed scrolling tasks most rapidly when using SDAZ, followed by DDAZ, normal scrollbars, and traditional rate-based scrolling. Workload assessments and preferences strongly favoured SDAZ. We finish by examining issues for consideration in commercial deployments.

References

  1. Blohm, G. and Schreiber, C. The Smooth Pursuit System, www.auto.ucl.ac.be/EYELAB/neurophysio/perception_action/SP.html 2002.Google ScholarGoogle Scholar
  2. Bourgeois, F. and Guiard, Y., Multiscale Pointing: Facilitating Pan-Zoom Coordination. in CHI '02 extended abstracts of CHI2002, (Minneapolis, Minnesota, USA, 2002), 758--759. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Burr, D. Motion Smear. Nature, 284 (13). 1980, 164--165.Google ScholarGoogle Scholar
  4. Byrne, M., John, B., Wehrle, N. and Crow, D., The Tangled Web We Wove: A Taskonomy of WWW Use. in Proceedings of CHI'99 Conference on Human Factors in Computing Systems, (Pittsburgh, 1999), 544--551. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Card, S., Moran, T. and Newell, A. The Psychology of Human-Computer Interaction. Lawrence Erlbaum Associates, 1983. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Cockburn, A. and Savage, J., Comparing Speed-Dependent Automatic Zooming with Traditional Scroll, Pan and Zoom Methods. in People and Computers XVII (Proceedings of the 2003 British Computer Society Conference on Human-Computer Interaction.), (Bath, England, 2003), 87--102.Google ScholarGoogle Scholar
  7. Eckert, M. and Buchsbaum, G. The Significance of Eye Movements and Image Acceleration for Coding Television Image Sequences. in Watson, A. ed. Digital Images and Human Vision, MIT Press, 1993, 90--98. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Fitts, P. The Information Capacity of the Human Motor System in Controlling the Amplitude of Movement. Journal of Experimental Psychology, 47. 1954, 381--391.Google ScholarGoogle Scholar
  9. Hart, S. and Staveland, L. Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research. in Hancock, P.a.M., N ed. Human Mental Workload, 1988, 139--183.Google ScholarGoogle Scholar
  10. Hinckley, K., Cutrell, E., Bathiche, S. and Muss, T., Quantitative Analysis of Scrolling Techniques. in Proceedings of CHI'2002 Conference on Human Factors in Computing Systems, (Minneapolis, Minnesota, 2002), 65--72. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Igarashi, T. and Hinckley, K., Speed-dependent Automatic Zooming for Browsing Large Documents. in Proceedings of the 2000 ACM Conference on User Interface Software and Technology, (San Diego, California., 2000), 139--148. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Kang, T. and Muter, P. Reading Dynamically Displayed Text. Behavior and Information Technology, 8 (1).1989, 33--42.Google ScholarGoogle ScholarCross RefCross Ref
  13. Krauzlis, R. and Stone, L. Tracking with the Mind's Eye. Trends in Neurosciences, 22.1999, 544--550.Google ScholarGoogle Scholar
  14. MacKenzie, I. and Riddersma, S. Effects of Output Display and Control-Display Gain on Human Performance in Interactive Systems. Behaviour and Information Technology, 13 (5). 1994, 328--337.Google ScholarGoogle ScholarCross RefCross Ref
  15. Morgan, M. and Benton, S. Motion-deblurring in human vision. Nature, 340.1989, 385--386.Google ScholarGoogle Scholar
  16. Savage, J. The Calibration and Evaluation of Speed-Dependent Automatic Zooming Interfaces Masters Thesis, University of Canterbury, Christchurch, 2004.Google ScholarGoogle Scholar
  17. Tan, D., Robertson, G. and Czerwinski, M., Exploring 3D Navigation: Combining Speed-coupled Flying with Orbiting. in Proceedings of CHI'2001 Conference on Human Factors in Computing Systems, (Seattle, Washington, 2001), 418--425. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Tullis, T., Boynton, J. and Hersh, H., Readability of fonts in teh windows environment. in Extended Abstracts of CHI'95, (1995), 127--128. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. van Wijk, J. and Nuij, W. A Model for Smooth Viewing and Navigation of Large 2D Information Spaces. IEEE Transactions on Visualization and Computer Graphics, 10 (4). 2004, 447--458. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Ware, C. and Fleet, D., Context Sensitive Flying Interface. in Proceedings of the 1997 Symposium on Interactive 3D Graphics, (Providence, RI, 1997), 127--130. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Zagier, E. A Human's Eye View: Motion Blur and Frameless Rendering. ACM Crossroads, 3 (4). 1997, 8--12. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Zhai, S., Smith, B. and Selker, T., Improving Browsing Performance: A Study of Four Input Devices for Scrolling and Pointing Tasks. in Proceedings of INTERACT'97: the sixth IFIP conference on Human Computer Interaction, (1997), 286--292. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Tuning and testing scrolling interfaces that automatically zoom

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      CHI '05: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2005
      928 pages
      ISBN:1581139985
      DOI:10.1145/1054972

      Copyright © 2005 ACM

      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: 2 April 2005

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • Article

      Acceptance Rates

      CHI '05 Paper Acceptance Rate93of372submissions,25%Overall Acceptance Rate6,199of26,314submissions,24%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader