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Evaluation of eye gaze interaction

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Published:01 April 2000Publication History

ABSTRACT

Eye gaze interaction can provide a convenient and natural addition to user-computer dialogues. We have previously reported on our interaction techniques using eye gaze [10]. While our techniques seemed useful in demonstration, we now investigate their strengths and weaknesses in a controlled setting. In this paper, we present two experiments that compare an interaction technique we developed for object selection based on a where a person is looking with the most commonly used selection method using a mouse. We find that our eye gaze interaction technique is faster than selection with a mouse. The results show that our algorithm, which makes use of knowledge about how the eyes behave, preserves the natural quickness of the eye. Eye gaze interaction is a reasonable addition to computer interaction and is convenient in situations where it is important to use the hands for other tasks. It is particularly beneficial for the larger screen workspaces and virtual environments of the future, and it will become increasingly practical as eye tracker technology matures.

References

  1. 1.Abrams, R. A., Meyer, D. E., and Kornblum, S. Speed and accuracy of saccadic eye movements: Characteristics of impulse variability in the oculomotor system. Journal of Experimental Psychology: Human Perception and Performance 15, 3 (1989), 529-543.Google ScholarGoogle ScholarCross RefCross Ref
  2. 2.Bartz, A. E. Eye-movement latency, duration, and response time as a function of angular displacement. Journal of Experimental Psychology 64, 3 (1962), 318- 324.Google ScholarGoogle ScholarCross RefCross Ref
  3. 3.Boff, K. R. and Lincoln, J. E., eds. Engineering Data Compendium: Human Perception and Performance. AAMRL, Wright-Patterson AFB, OH, 1988.Google ScholarGoogle Scholar
  4. 4.Bolt, R. A. Gaze-orchestrated dynamic windows. Computer Graphics 15, 3 (Aug. 1981 ), 109-119. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. 5.Bolt, R. A. Eyes at the interface. Proc. A CM CHI'82 (1982), 360-362. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. 6.Bolt, R. A. Eyemovements in Human/Computer Dialogue. AHIG Research Report 92-1, MIT Media Laboratory, 1992.Google ScholarGoogle Scholar
  7. 7.Flagg, B.N. Children and Television: Effects of Stimulus Repetition on Eye Activity. Thesis, Doctor of Education degree, Graduate School of Education, Harvard University, 1977.Google ScholarGoogle Scholar
  8. 8.Glenn III, F. A., Iavecchia, H. P., Ross, L. V., Stokes, J. M., Weiland, W. J., Weiss, D., and Zakland, A. L. Eyevoice-controlled interface, Proc. of the Human Factors Society (1986), 322-326.Google ScholarGoogle Scholar
  9. 9.Jacob, R. J. I~ The use of eye movements in humancomputer interaction techniques: What you look at is what you get. A CM Transactions on Information Systems 9, 3 (April 1991), 152-169. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. 10.Jacob, R. J. K. What you look at is what you get: Eye movement-based interaction techniques. Proc. A CM CHI'90 (1992), 11-18. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. 11.Jacob, R. J. K. Eye-gaze computer interfaces: What you look at is what you get. IEEE Computer 26, 7 (July 1993), 65-67.Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. 12.Jacob, R. j. K. What you look at is what you get: Using eye movements as computer input. Proc. Virtual Reality Systems'93 (1993), 164-166.Google ScholarGoogle Scholar
  13. 13.Jacob, R. J. K. Eye movement-based human-computer interaction techniques: Toward non-command interfaces. In Advances in Human-Computer Interaction, Vol. 4, ed. H. R. Hartson and D. Hix, Ablex Publishing Co. (1993), Norwood, N.J., 151-190.Google ScholarGoogle Scholar
  14. 14.Jacob, R. J. K. Eye tracking in advanced interface design. In Advanced Interface Design and Virtual Environments, ed. W. Barfield and T. Furness, Oxford University Press, Oxford, 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. 15.Jacob, R. J. K., Sibert, L. E., Mcfarlane, D. C., and Mullen, M. P. 1994. Integrality and Separability of Input Devices. A CM Transactions on Computer- Human Interaction 1, 1 (1994), 3-26. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. 16.Just, M. A. and Carpenter, P. A. A theory of reading: from eye fixations to comprehension. Psychological Review 87, 4 (1980), 329-354.Google ScholarGoogle ScholarCross RefCross Ref
  17. 17.Just, M. A. and Carpenter, P.A. Eye fixations and cognitive processes. Cognitive Psychology 8 (1976), 441-480.Google ScholarGoogle ScholarCross RefCross Ref
  18. 18.Lambert, R.H., Monty, R.A., and Hail, R.J. High-speed Data Processing and Unobtrusive Monitoring of Eye Movements. Behavior Research Methods and Instrumentation 6,6 (1974), 525-530.Google ScholarGoogle ScholarCross RefCross Ref
  19. 19.Olson, J. R., and Olson, G. M. The growth of cognitive modeling in human-computer interaction since gores. Human-Computer Interaction 5 (1990), 221-265.Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. 20.Prablanc, C. and Pelisson, D. Gaze saccade orienting and hand pointing are locked to their goal by quick internal loops. In Attention and Performance XIII: Motor Representation and Control, M. Jeannerof (ed.). Lawrence Erlbaum Associates (1990), Hillsdale, N.J., 653-676.Google ScholarGoogle Scholar
  21. 21.Sheridan, M. R. A reappraisal of fitts' law. Journal of Motor Behavior 11, 3 (1979), 179-188.Google ScholarGoogle ScholarCross RefCross Ref
  22. 22.Sibert, L. E., Templeman, J. N., and Jacob, R. J. K. Evaluation and Analysis of Eye Gaze Interaction. NRL Report, Naval Research Laboratory, Washington, D.C., 2000, in press.Google ScholarGoogle Scholar
  23. 23.Starker, I., and Bolt, R. A. A gaze-responsive selfdisclosing display. Proc. A CM CHI'90 (1990), 3-9. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. 24.Thorisson, K. R., and Koons, D.B. Unconstrained Eye Tracking in Multi-Modal Natural Dialogue. AHIG Research Report 92-4, MIT Media Laboratory, 1992.Google ScholarGoogle Scholar
  25. 25.Ware, C. and Mikaelian, H. H. An evaluation of an eye tracker as a device for computer input. Proc. A CM CHI'87 (1987), pp. 183-188. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. 26.Young, L. R. and Sheena, C. Methods and designs: survey of eye movement recording methods. Behavior Research Methods & Instrumentation 7, 5 (1975), 397- 429Google ScholarGoogle Scholar
  27. 27.Zhai, S., Morimoto, C., and Ihde, S. Manual and Gaze Input Cascaded (MAGIC) Pointing. Proc. A CM CHI'99 (1999), pp. 246-253. Google ScholarGoogle ScholarDigital LibraryDigital Library

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        cover image ACM Conferences
        CHI '00: Proceedings of the SIGCHI conference on Human Factors in Computing Systems
        April 2000
        587 pages
        ISBN:1581132166
        DOI:10.1145/332040

        Copyright © 2000 ACM

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        • Published: 1 April 2000

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