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EyeDraw: a system for drawing pictures with the eyes

Published:24 April 2004Publication History

ABSTRACT

This paper describes the development of EyeDraw, a software system that enables children with severe motor impairments to draw pictures by just moving their eyes. EyeDraw will help these children to have creative and developmental experiences currently missing from their lives. The project demonstrates how task analysis integrated at various levels of detail, including that of the unit task as well as that of visual-perceptual and oculomotor processing, can improve eye tracking for real-time input. The project introduces refined techniques for controlling a computer with the eyes. The paper discusses the motivation for the project, previous research on eye-control of computers, how EyeDraw works, and the results of user observation studies that are currently in progress.

References

  1. Bolt, R. A. (1982). Eyes at the interface. Proceedings of Human Factors in Computing Systems, New York: ACM, 360--362. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Card, S. K., Moran, T. P., & Newell, A. (1983). The Psychology of Human-Computer Interaction. Hillsdale, NJ: Lawrence Erlbaum Associates. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Duncum, P. (1995). Colouring-in and alternatives in early childhood. Australian Journal of Early Childhood, 20(3), 33--38.Google ScholarGoogle ScholarCross RefCross Ref
  4. Escobedo, T. H., & Bhargava, A. (1991). A study of children's computer-generated graphics. Journal of Computing in Childhood Education, 2(4), 3--25. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Gips, J., & Olivieri, P. (1996). EagleEyes: An Eye Control System for Persons with Disabilities. The Eleventh International Conference on Technology and Persons with Disabilities.Google ScholarGoogle Scholar
  6. Jacob, R. J. K., & Karn, K. S. (2003). Eye tracking in human-computer interaction and usability research: Ready to deliver the promises (Section commentary). In J. Hyona, R. Radach, & H. Deubel (Eds.), The Mind's Eyes: Cognitive and Applied Aspects of Eye Movements. Oxford: Elsevier Science. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Newell, A. F., & Gregor, P. (1997). Human computer interfaces for people with disabilities. In M. Helander, T. K. Landauer, & P. Prabhu (Eds.), Handbook of Human-Computer Interaction. (2nd ed.). Amsterdam: North-Holland, 813--824.Google ScholarGoogle Scholar
  8. Tchalenko, J. (2001). Free-eye drawing. Point: Art and Design Research Journal, 11, 36--41.Google ScholarGoogle Scholar
  1. EyeDraw: a system for drawing pictures with the eyes

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    • Published in

      cover image ACM Conferences
      CHI EA '04: CHI '04 Extended Abstracts on Human Factors in Computing Systems
      April 2004
      975 pages
      ISBN:1581137036
      DOI:10.1145/985921

      Copyright © 2004 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 24 April 2004

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      Overall Acceptance Rate6,164of23,696submissions,26%

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