The SMI High Speed System of Registration of Eye Movements: Particular Qualities of Use

3457

Abstract

This article is dedicated to the description of the author’s proposed method of processing the experimental data obtained on SMI High Speed equipment for the registration of eye movements. Particular attention is paid to the recommendations on the choice of the algorithm of fixations, the calculation of statistics for selected zones of interest, as well as consideration of the features of registering of pupil dilation.

General Information

Keywords: registration of eye movements, fixation, saccade, detection algorithms of fixations and saccades, calibration, tachistoscope, region of interest

Journal rubric: Tools

For citation: Zhegallo A.V. The SMI High Speed System of Registration of Eye Movements: Particular Qualities of Use . Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2009. Vol. 2, no. 4, pp. 111–117. (In Russ., аbstr. in Engl.)

References

  1. Barabanschikov V. A., Demidov A. A.  Dinamika vospriyatiya individual’no-psihologicheskih osobennostei cheloveka po vyrazheniyu ego litsa v mikrointervalah vremeni (Dynamics of perception of individual psychological features of a man based on his facial expression during short time intervals) // Psihologiya. Vyshya shkola ekonomiki (Psychology. Higher School of Economics), 2008. T. 5. № 2.S. 109–116.
  2. Demidov A. A., Zhegallo A. V. Oborudovanie SMI dlya registratsii dvizhenij glaz: test-drive (SMI Equipment for eye movements registration: a test drive) // Eksperimental’naya psihologiya. (Experimental Psychology) 2008. № 1. S 149–159.
  3. Zhegallo A. V. Dinamika vospriyatiya ekspressij litsa: k verifikatsii modeli vospriyatiya slozhnyh izobrazhenij G. Hakena (Dynamics of facial expression perception: towards Haken's compound images perception model verification) // Obraz rossijskoi psihologii v regionah strany i v mire: Materialy mezhdunarodnogo Foruma i Shkoly molodyh uchenyh IP RAN, 24–28 sentyabrya 2006 g. (Image of Russian Psychology in Russia regions and in the world. Proceedings of International Forum and Young scientists School of IP RAS) M.: IP RAN, S. 216–220.
  4. Nystrom M., Holmqvist K. An Adaptive Algorithm for Fixation, Saccade, and Glissade Detection in Eye-Tracking Data // Behavior Research Methods. 2009. V. 8–12.
  5. R Development Core Team (2008). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, ISBN 3-900051-07-0, URL http://www.R-project.org.
  6. Salvucci D., Goldberg J. Identifying fixations and saccades in eye-tracking protocols // Proceedings of the Eye Tracking Research and Applications Symposium, New York: ACM Press, 2000. P. 71–81.

Information About the Authors

Alexander V. Zhegallo, PhD in Psychology, Senior Researcher at the Laboratory of Systems Research of the Psyche, Institute of Psychology of the Russian Academy of Sciences, Researcher at the Center for Experimental Psychology of MSUPE, Moscow, Russia, ORCID: https://orcid.org/0000-0002-5307-0083, e-mail: zhegalloav@ipran.ru

Metrics

Views

Total: 3001
Previous month: 12
Current month: 15

Downloads

Total: 3457
Previous month: 1
Current month: 9