research-article

Experts vs. novices: applying eye-tracking methodologies in colonoscopy video screening for polyp search

Authors:

F. Javier Sánchez,

Fernando Vilariño,

Gerard LaceyAuthors Info & Claims

ETRA '14: Proceedings of the Symposium on Eye Tracking Research and Applications

Pages 223 - 226

https://doi.org/10.1145/2578153.2578189

Published: 26 March 2014 Publication History

Abstract

We present in this paper a novel study aiming at identifying the differences in visual search patterns between physicians of diverse levels of expertise during the screening of colonoscopy videos. Physicians were clustered into two groups -experts and novices- according to the number of procedures performed, and fixations were captured by an eye-tracker device during the task of polyp search in different video sequences. These fixations were integrated into heat maps, one for each cluster. The obtained maps were validated over a ground truth consisting of a mask of the polyp, and the comparison between experts and novices was performed by using metrics such as reaction time, dwelling time and energy concentration ratio. Experimental results show a statistically significant difference between experts and novices, and the obtained maps show to be a useful tool for the characterisation of the behaviour of each group.

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Cited By

Anikina AIbragimova DMustafaev TMello-Thoms CIbragimov B(2025)Prediction of radiological decision errors from longitudinal analysis of gaze and image featuresArtificial Intelligence in Medicine10.1016/j.artmed.2024.103051160:COnline publication date: 1-Feb-2025
https://dl.acm.org/doi/10.1016/j.artmed.2024.103051
Dimas GKoulaouzidis AIakovidis D(2023)Co-Operative CNN for Visual Saliency Prediction on WCE ImagesICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP49357.2023.10095510(1-5)Online publication date: 4-Jun-2023
https://doi.org/10.1109/ICASSP49357.2023.10095510
Bodala IDing KAl-Nashash H(2023)Vigilance Assessment and EnhancementHandbook of Neuroengineering10.1007/978-981-16-5540-1_75(2769-2792)Online publication date: 3-Feb-2023
https://doi.org/10.1007/978-981-16-5540-1_75
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Index Terms

Experts vs. novices: applying eye-tracking methodologies in colonoscopy video screening for polyp search
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Tracking
      2. Computer vision tasks
        Scene understanding

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cover image ACM Conferences

ETRA '14: Proceedings of the Symposium on Eye Tracking Research and Applications

March 2014

394 pages

ISBN:9781450327510

DOI:10.1145/2578153

Conference Chairs:
Pernilla Qvarfordt
FX Palo Alto Laboratory
,
Dan Witzner Hansen
IT University, Denmark

Copyright © 2014 ACM.

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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Publication History

Published: 26 March 2014

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Spanish Government

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ETRA '14

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ETRA '14: Eye Tracking Research and Applications

March 26 - 28, 2014

Florida, Safety Harbor

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Overall Acceptance Rate 69 of 137 submissions, 50%

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ETRA '25

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2025 Symposium on Eye Tracking Research and Applications

May 26 - 29, 2025

Tokyo , Japan

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Cited By

Anikina AIbragimova DMustafaev TMello-Thoms CIbragimov B(2025)Prediction of radiological decision errors from longitudinal analysis of gaze and image featuresArtificial Intelligence in Medicine10.1016/j.artmed.2024.103051160:COnline publication date: 1-Feb-2025
https://dl.acm.org/doi/10.1016/j.artmed.2024.103051
Dimas GKoulaouzidis AIakovidis D(2023)Co-Operative CNN for Visual Saliency Prediction on WCE ImagesICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP49357.2023.10095510(1-5)Online publication date: 4-Jun-2023
https://doi.org/10.1109/ICASSP49357.2023.10095510
Bodala IDing KAl-Nashash H(2023)Vigilance Assessment and EnhancementHandbook of Neuroengineering10.1007/978-981-16-5540-1_75(2769-2792)Online publication date: 3-Feb-2023
https://doi.org/10.1007/978-981-16-5540-1_75
Stadler MDoebler PMertins BDelucchi Danhier R(2021)Statistical modeling of dynamic eye-tracking experiments: Relative importance of visual stimulus elements for gaze behavior in the multi-group caseBehavior Research Methods10.3758/s13428-021-01576-853:6(2650-2667)Online publication date: 23-May-2021
https://doi.org/10.3758/s13428-021-01576-8
Bodala IDing KAl-Nashash H(2021)Vigilance Assessment and EnhancementHandbook of Neuroengineering10.1007/978-981-15-2848-4_75-1(1-24)Online publication date: 31-Dec-2021
https://doi.org/10.1007/978-981-15-2848-4_75-1
Dimas GIakovidis DKoulaouzidis A(2019)MedGaze: Gaze Estimation on WCE Images Based on a CNN Autoencoder2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE)10.1109/BIBE.2019.00071(363-367)Online publication date: Oct-2019
https://doi.org/10.1109/BIBE.2019.00071
Kasprowski PHarezlak KKasprowska SSharif BKrejtz K(2018)Development of diagnostic performance & visual processing in different types of radiological expertiseProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications10.1145/3204493.3204562(1-6)Online publication date: 14-Jun-2018
https://dl.acm.org/doi/10.1145/3204493.3204562
Harezlak KKasprowski PKasprowska S(2017)Eye Movement Traits in Differentiating Experts and LaymenMan-Machine Interactions 510.1007/978-3-319-67792-7_9(82-91)Online publication date: 20-Sep-2017
https://doi.org/10.1007/978-3-319-67792-7_9

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