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Study on Participant-controlled Eye Tracker Calibration Procedure

Published: 16 November 2014 Publication History

Abstract

The analysis of an eye movement signal, which can reveal o lot of information about the way human brain works, has recently attracted the attention of many researchers. The basis for such studies is data returned by specialized devices called eye-trackers. The first step of their usage is a calibration process, allowing to reflect an eye position to a point of regard. The main research problem analyzed in this paper is to check whether and how the chosen calibration scenario influences the calibration result (calibration errors). Based on this analysis of possible scenarios, a new user-controlled calibration procedure was developed. It was checked and compared with a classic approach during pilot studies using the Eye Tribe system as an eye-tracker device. The results obtained for both methods were examined in terms of provided accuracy.

References

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Duchowski, Andrew. Eye tracking methodology: Theory and practice. Vol. 373. Springer, 2007.
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Holmqvist, K., Nyström, N., Andersson, R., Dewhurst, R., Jarodzka, H., & van de Weijer, J. Eye tracking: A comprehensive guide to methods and measures. Oxford: Oxford University Press, 2011.
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Hansen, D. W. and Ji, Q. 2010. In the eye of the beholder: A survey of models for eyes and gaze. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(3), 478--500.
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Kasprowski, P., Harezlak, K., Stasch, M.: Guidelines for the Eye Tracker Calibration Using Points of Regard. Information Technologies in Biomedicine. Volume 4. Advances in Intelligent Systems and Computing. Springer International Publishing, Vol. 284, pp. 225--236, 2014.
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Salvucci, D. D., & Goldberg, J. H. (2000). Identifying fixations and saccades in eye-tracking protocols. In Proceedings of the 2000 Symposiumon Eye Tracking Research and Applications (pp. 71--78).
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Nyström, M., Andersson, R., Holmqvist, K., van de Weijer, J.: The influence of calibration method and eye physiology on eyetracking data quality. Behav Res Methods. 2013 Mar;45(1):272--88.
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Hornof, A. J., & Halverson, T. Cleaning up systematic error in eye-tracking data by using required fixation locations. Behavior Research Methods, Instruments, & Computers, 34(4), 592--604, 2002.

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Published In

cover image ACM Conferences
GazeIn '14: Proceedings of the 7th Workshop on Eye Gaze in Intelligent Human Machine Interaction: Eye-Gaze & Multimodality
November 2014
50 pages
ISBN:9781450301251
DOI:10.1145/2666642
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 November 2014

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Author Tags

  1. calibration
  2. eye movement

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ICMI '14
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GazeIn '14 Paper Acceptance Rate 8 of 8 submissions, 100%;
Overall Acceptance Rate 19 of 21 submissions, 90%

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