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Fisheyes are good for large steering tasks

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Published:05 April 2003Publication History

ABSTRACT

Fisheye views use distortion to provide both local detail and global context in a single continuous view. However, the distorted presentation can make it more difficult to interact with the data; it is therefore not clear whether fisheye views are good choices for interactive tasks. To investigate this question, we tested the effects of magnification and representation on user performance in a basic pointing activity called steering - where a user moves a pointer along a predefined path in the workspace. We looked specifically at magnified steering, where the entire path does not fit into one view. We tested three types of fisheye at several levels of distortion, and also compared the fisheyes with two non-distorting techniques. We found that increasing distortion did not reduce steering performance, and that the fisheyes were faster than the non-distorting techniques. Our results show that in situations where magnification is required, distortion-oriented views can be effective representations for interactive tasks.

References

  1. Accot, J., and Zhai, S. (1997) Beyond Fitts' Law: Models for Trajectory-Based HCI Tasks, Proc. ACM CHI'97, 295--302. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Accot, J., and Zhai, S. (1999) Performance Evaluation of Input Devices in Trajectory-Based Tasks: An Application of The Steering Law, Proc. ACM CHI'99, 466--472. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Accot, J., and Zhai, S. (2001) Scale Effects in Steering Law Tasks, Proc. CHI 2001, 1--8. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Bederson, B. (2000) Fisheye Menus. Proc. UIST 2000, CHI Letters, 2(2), 217--225. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Dennerlein, J., Martin, D., and Hasser, C. (2000) Force-Feedback Improves Performance for Steering and Combined Steering-Targeting Tasks, Proc. CHI 2000, 423--429. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Gutwin, C. (2002) Improving Focus Targeting in Interactive Fisheye Views, Proc. CHI 2002, 267--274. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Idelix Corporation. (2002) PDT Basic Lens Demo, http://www.idelix.com.Google ScholarGoogle Scholar
  8. Leung, Y., and Apperley, M. (1994) A Review and Taxonomy of Distortion-Oriented Presentation Techniques, ACM ToCHI, 1 (2), 1994, 126--160. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Sarkar, M., & Brown, M. (1992) Graphical Fisheye Views of Graphs. Proc. ACM CHI'92, 83--91. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Schaffer, D., Zuo, Z., Greenberg, S., Bartram, L., Dill, J., Dubs, S., and Roseman, M. (1996) Navigating Hierarchically Clustered Networks through Fisheye and Full-Zoom Methods ACM ToCHI, 3(2),162--188. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Smith, R., Hixon, R., and Horan, B. (1998), Supporting Flexible Roles in a Shared Space, Proc. ACM CSCW'98, 197--206. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Ware, C., and Lewis, M. (1995) The DragMag Image Magnifier. Proc. ACM CHI'95, vol. 2, 407--408. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Fisheyes are good for large steering tasks

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              cover image ACM Conferences
              CHI '03: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
              April 2003
              620 pages
              ISBN:1581136307
              DOI:10.1145/642611

              Copyright © 2003 ACM

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 5 April 2003

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              CHI '03 Paper Acceptance Rate75of468submissions,16%Overall Acceptance Rate6,199of26,314submissions,24%

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