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Skilled gaze behavior extraction based on dependency analysis of gaze patterns on video scenes

Authors:

Atsushi Iwatsuki,

Takatsugu Hirayama,

Junya Morita,

Kenji MaseAuthors Info & Claims

ETRA '16: Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications

Pages 299 - 302

https://doi.org/10.1145/2857491.2857531

Published: 14 March 2016 Publication History

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Abstract

The eye gaze behavior of individuals changes depending on their knowledge and experience of the event occurring in their field of view. In past studies, researchers formulated a hypothesis concerning this dependency on a specific scene and then analyzed the gaze behavior of viewers observing the scene. We depart from this hypothesis-testing paradigm. In this paper, we propose a data-mining framework for extracting skilled gaze behaviors of experts while watching a video based on a comprehensive comparison of viewers in terms of the dependency of their gaze patterns on video scenes. To quantitatively analyze the changes in the gaze behavior of experts according to the events in the scene, video and eye movement sequences are classified into video scenes and gaze patterns, respectively, by using an unsupervised clustering method focusing on short-time dynamics. Then, we analyze the dependency based on the distinctiveness and occurrence frequency of gaze patterns for each video scene.

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Cited By

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Zhang HFu RWang JCalvert Svan Lint H(2024)Driving patterns in connected environments: A case study of intersection-approaching behavior of professional and non-professional driversTransportation Research Part F: Traffic Psychology and Behaviour10.1016/j.trf.2024.04.014103(230-259)Online publication date: May-2024
https://doi.org/10.1016/j.trf.2024.04.014
Bhattacharya NGwizdka JSharif BKrejtz K(2018)Relating eye-tracking measures with changes in knowledge on search tasksProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications10.1145/3204493.3204579(1-5)Online publication date: 14-Jun-2018
https://dl.acm.org/doi/10.1145/3204493.3204579
Umezawa YHirayama TEnokibori YMase K(2018)Egocentric Video Multi-viewer for Analyzing Skilled Behaviors based on Gaze ObjectCompanion Proceedings of the 23rd International Conference on Intelligent User Interfaces10.1145/3180308.3180342(1-2)Online publication date: 5-Mar-2018
https://dl.acm.org/doi/10.1145/3180308.3180342

Index Terms

Skilled gaze behavior extraction based on dependency analysis of gaze patterns on video scenes
1. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Unsupervised learning
        Cluster analysis

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Published In

ETRA '16: Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications

March 2016

378 pages

ISBN:9781450341257

DOI:10.1145/2857491

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

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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Published: 14 March 2016

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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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2025 Symposium on Eye Tracking Research and Applications

May 26 - 29, 2025

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Zhang HFu RWang JCalvert Svan Lint H(2024)Driving patterns in connected environments: A case study of intersection-approaching behavior of professional and non-professional driversTransportation Research Part F: Traffic Psychology and Behaviour10.1016/j.trf.2024.04.014103(230-259)Online publication date: May-2024
https://doi.org/10.1016/j.trf.2024.04.014
Bhattacharya NGwizdka JSharif BKrejtz K(2018)Relating eye-tracking measures with changes in knowledge on search tasksProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications10.1145/3204493.3204579(1-5)Online publication date: 14-Jun-2018
https://dl.acm.org/doi/10.1145/3204493.3204579
Umezawa YHirayama TEnokibori YMase K(2018)Egocentric Video Multi-viewer for Analyzing Skilled Behaviors based on Gaze ObjectCompanion Proceedings of the 23rd International Conference on Intelligent User Interfaces10.1145/3180308.3180342(1-2)Online publication date: 5-Mar-2018
https://dl.acm.org/doi/10.1145/3180308.3180342

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Auto-Calibrated Gaze Estimation Using Human Gaze Patterns

Gaze Based Behavior Analysis of Online Learners

Beyond gaze: preliminary analysis of pupil dilation and blink rates in an fMRI study of program comprehension

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