Interacting with the Computer Using Gaze Gestures

  • Heiko Drewes
  • Albrecht Schmidt
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4663)


This paper investigates novel ways to direct computers by eye gaze. Instead of using fixations and dwell times, this work focuses on eye motion, in particular gaze gestures. Gaze gestures are insensitive to accuracy problems and immune against calibration shift. A user study indicates that users are able to perform complex gaze gestures intentionally and investigates which gestures occur unintentionally during normal interaction with the computer. Further experiments show how gaze gestures can be integrated into working with standard desktop applications and controlling media devices.


eye-tracker gaze gestures 


  1. 1.
    Hansen, D.W., MacKay, D.J.C., Hansen, J.P., Nielsen, M.: Eye tracking off the shelf. In: ETRA 2004, pp. 58–58. ACM Press, New York (2004)CrossRefGoogle Scholar
  2. 2.
    Li, D., Babcock, J., Parkhurst, D.: openEyes: a low-cost head-mounted eye-tracking solution. In: ETRA 2006, pp. 95–100. ACM Press, New York (2006)Google Scholar
  3. 3.
    Bolt, R.A: Gaze-orchestrated dynamic windows. In: SIGGRAPH 1981, pp. 109–119. ACM Press, New York (1981)Google Scholar
  4. 4.
    Ware, C., Mikaelian, H.H.: An evaluation of an eye tracker as a device for computer input. In: Proceedings of the CHI + GI 1987, pp. 183–188. ACM Press, New York (1987)Google Scholar
  5. 5.
    Jacob, R.J.: What you look at is what you get: eye movement-based interaction techniques. In: CHI 1990, pp. 11–18. ACM Press, New York (1990)Google Scholar
  6. 6.
    Duchowski, A.T.: Eye Tracking Methodology: Theory and Practice. Springer, New York (2003)CrossRefMATHGoogle Scholar
  7. 7.
    Majaranta, P., Räihä, K.: Twenty years of eye typing: systems and design issues. In: ETRA 2002, pp. 15–22. ACM Press, New York (2002)Google Scholar
  8. 8.
    Zhai, S., Morimoto, C., Ihde, S.: Manual and gaze input cascaded (MAGIC) pointing. In: CHI 1999, pp. 246–253. ACM Press, New York (1999)Google Scholar
  9. 9.
    Goldberg, D., Richardson, C.: Touch-Typing With a Stylus. In: CHI 1993, pp. 80–87. ACM Press, New York (1993)Google Scholar
  10. 10.
    Mankof, J., Abowd, G.D.: Cirrin: a word-level unistroke keyboard for pen input. In: UIST 1998, pp. 213–214. ACM Press, New York (1998)Google Scholar
  11. 11.
    Qvarfordt, P., Zhai, S.: Conversing with the User Based on Eye-Gaze Patterns. In: CHI 2005, pp. 221–230. ACM Press, New York (2005)Google Scholar
  12. 12.
    Isokoski, P.: Text input methods for eye trackers using off-screen targets. In: ETRA 2000, pp. 15–21. ACM Press, New York (2000)Google Scholar
  13. 13.
    Wobbrock, J.O., Myers, B.A., Kembel, J.A.: EdgeWrite: a stylus-based text entry method designed for high accuracy and stability of motion. In: UIST 2003, pp. 61–70. ACM Press, New York (2003)Google Scholar
  14. 14.
    Abrams, R.A., Meyer, D.E., 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), 529–543 (1989)Google Scholar
  15. 15.
    Vertegaal, R., Mamuji, A., Sohn, C., Cheng, D.: Media eyepliances: using eye tracking for remote control focus selection of appliances. In: CHI 2005, pp. 1861–1864. ACM Press, New York (2005)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2007

Authors and Affiliations

  • Heiko Drewes
    • 1
  • Albrecht Schmidt
    • 2
  1. 1.Media Informatics Group, LMU University of Munich, Amalienstraße 17, 80333 MünchenGermany
  2. 2.Fraunhofer IAIS and B-IT, University of Bonn, Schloss Birlinghoven, 53754 Sankt AugustinGermany

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