research-article

Towards fine-grained fixation analysis: distilling out context dependence

Author:

Neil D. B. BruceAuthors Info & Claims

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

Pages 99 - 102

https://doi.org/10.1145/2578153.2578167

Published: 26 March 2014 Publication History

Abstract

In this paper, we explore the problem of analyzing gaze patterns towards attributing greater meaning to observed fixations. In recent years, there have been a number of efforts that attempt to categorize fixations according to their properties. Given that there are a multitude of factors that may contribute to fixational behavior, including both bottom-up and top-down influences on neural mechanisms for visual representation and saccadic control, efforts to better understand factors that may contribute to any given fixation may play an important role in augmenting raw fixation data. A grand objective of this line of thinking is in explaining the reason for any observed fixation as a combination of various latent factors. In the current work, we do not seek to solve this problem in general, but rather to factor out the role of the holistic structure of a scene as one observable, and quantifiable factor that plays a role in determining fixational behavior. Statistical methods and approximations to achieve this are presented, and supported by experimental results demonstrating the efficacy of the proposed methods.

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Cited By

Bruce NCatton CJanjic S(2016)A Deeper Look at Saliency: Feature Contrast, Semantics, and Beyond2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR.2016.62(516-524)Online publication date: Jun-2016
https://doi.org/10.1109/CVPR.2016.62
Boisvert JBruce N(2016)Predicting task from eye movementsNeurocomputing10.1016/j.neucom.2016.05.047207:C(653-668)Online publication date: 26-Sep-2016
https://dl.acm.org/doi/10.1016/j.neucom.2016.05.047

Index Terms

Towards fine-grained fixation analysis: distilling out context dependence
1. Computing methodologies
  1. Computer graphics
    1. Graphics systems and interfaces
      1. Perception

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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.

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Association for Computing Machinery

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Publication History

Published: 26 March 2014

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Natural Sciences and Engineering Research Council of Canada
University of Manitoba

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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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2025 Symposium on Eye Tracking Research and Applications

May 26 - 29, 2025

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Cited By

Bruce NCatton CJanjic S(2016)A Deeper Look at Saliency: Feature Contrast, Semantics, and Beyond2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR.2016.62(516-524)Online publication date: Jun-2016
https://doi.org/10.1109/CVPR.2016.62
Boisvert JBruce N(2016)Predicting task from eye movementsNeurocomputing10.1016/j.neucom.2016.05.047207:C(653-668)Online publication date: 26-Sep-2016
https://dl.acm.org/doi/10.1016/j.neucom.2016.05.047

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