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FixFix: fixing the fixations

Published: 14 March 2016 Publication History

Abstract

FixFix is a web-based tool for editing reading gaze fixation datasets. The purpose is to provide gaze researchers focusing on reading an easy-to-use interface that will facilitate manual interpretation, but even more so to create gold standard datasets for machine learning and data mining. It allows the users to identify fixations, then move them either singly or in groups, in order to correct both variable and systematic gaze sampling errors.

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MP4 File (p319-topic.mp4)

References

[1]
Chapanis, A. 1951. Theory and methods for analyzing errors in man-machine systems. Annals of the New York Academy of Sciences 51, 7, 1179--1203.
[2]
Hornof, A., and Halverson, T. 2002. Cleaning up systematic error in eye-tracking data by using required fixation locations. Behavior Research Methods 34, 592--604. 10.3758/BF03195487.
[3]
Kennedy, A., 2003. The Dundee corpus. {CD-ROM}. School of Psychology, The University of Dundee.
[4]
Salvucci, D. D., and Goldberg, J. H. 2000. Identifying fixations and saccades in eye-tracking protocols. In Proceedings of the 2000 Symposium on Eye Tracking Research & Applications, ACM, New York, NY, USA, ETRA '00, 71--78.
[5]
Yamaya, A., Topić, G., Martínez-Gómez, P., and Aizawa, A. 2015. Dynamic-programming--based method for fixation-to-word mapping. In Intelligent Decision Technologies, Springer, 649--659.

Cited By

View all
  • (2019)Evaluation of Visualisation of Scanpath Trend Analysis (ViSTA) ToolBalkan Journal of Electrical and Computer Engineering10.17694/bajece.490601(373-383)Online publication date: 30-Oct-2019
  • (2018)Substantiating reading teachers with scanpathsProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications10.1145/3204493.3208329(1-3)Online publication date: 14-Jun-2018
  • (2017)Vertical Error Correction Using Classification of Transitions between Sequential Reading SegmentsJournal of Information Processing10.2197/ipsjjip.25.10025(100-106)Online publication date: 2017

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Published In

cover image ACM Conferences
ETRA '16: Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications
March 2016
378 pages
ISBN:9781450341257
DOI:10.1145/2857491
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 March 2016

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Author Tags

  1. editor
  2. eye tracking
  3. gaze data
  4. reading

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ETRA '16
ETRA '16: 2016 Symposium on Eye Tracking Research and Applications
March 14 - 17, 2016
South Carolina, Charleston

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Overall Acceptance Rate 69 of 137 submissions, 50%

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Cited By

View all
  • (2019)Evaluation of Visualisation of Scanpath Trend Analysis (ViSTA) ToolBalkan Journal of Electrical and Computer Engineering10.17694/bajece.490601(373-383)Online publication date: 30-Oct-2019
  • (2018)Substantiating reading teachers with scanpathsProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications10.1145/3204493.3208329(1-3)Online publication date: 14-Jun-2018
  • (2017)Vertical Error Correction Using Classification of Transitions between Sequential Reading SegmentsJournal of Information Processing10.2197/ipsjjip.25.10025(100-106)Online publication date: 2017

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