research-article

The hierarchical flow of eye movements

Authors:

Klaus MuellerAuthors Info & Claims

ETVIS '18: Proceedings of the 3rd Workshop on Eye Tracking and Visualization

Article No.: 3, Pages 1 - 5

https://doi.org/10.1145/3205929.3205930

Published: 15 June 2018 Publication History

Abstract

Eye movements are composed of spatial and temporal aspects. Moreover, not only the eye movements of one subject are of interest, but a data analyst is more or less interested in the scanning strategies of a group of people in a condensed form. This data aggregation can provide useful insights into the visual attention over space and time leading to the detection of possible visual problems or design flaws in the presented stimulus. In this paper we present a way to visually explore the flow of eye movements, i.e., we try to bring a layered hierarchical structure into the spatio-temporal eye movements. To reach this goal, the stimulus is spatially divided into areas of interest (AOIs) and temporally or sequentially aggregated into time periods or subsequences. The weighted AOI transitions are used to model directed graph edges while the AOIs build the graph vertices. The flow of eye movements is naturally obtained by computing hierarchical layers for the AOIs while the downward edges indicate the hierarchical flow between the AOIs on the corresponding layers.

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Zacheo GBuzimkic ALa Roi AVan Schie AStaudt YBurch M(2023)FitYou: A Personalized Dashboard for Health DataProceedings of the 16th International Symposium on Visual Information Communication and Interaction10.1145/3615522.3615526(1-5)Online publication date: 22-Sep-2023
https://dl.acm.org/doi/10.1145/3615522.3615526
Krassanakis V(2021)Aggregated Gaze Data Visualization Using Contiguous Irregular CartogramsDigital10.3390/digital10300101:3(130-144)Online publication date: 30-Jun-2021
https://doi.org/10.3390/digital1030010
Bakardzhiev Hvan der Burgt MMartins Evan den Dool BJansen Cvan Scheppingen DWallner GBurch M(2021)A Web-Based Eye Tracking Data Visualization ToolPattern Recognition. ICPR International Workshops and Challenges10.1007/978-3-030-68796-0_29(405-419)Online publication date: 21-Feb-2021
https://doi.org/10.1007/978-3-030-68796-0_29
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Index Terms

The hierarchical flow of eye movements
1. Human-centered computing
  1. Visualization
    1. Visualization techniques
      1. Graph drawings

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cover image ACM Conferences

ETVIS '18: Proceedings of the 3rd Workshop on Eye Tracking and Visualization

June 2018

57 pages

ISBN:9781450357876

DOI:10.1145/3205929

General Chairs:
Lewis Chuang
MPI for Biological Cybernetics, Tübingen, Germany
,
Michael Burch
Technische Universiteit Eindhoven, Netherlands
,
Kuno Kurzhals
Universität Stuttgart, Germany

Copyright © 2018 ACM.

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Publication History

Published: 15 June 2018

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MSIT (Ministry of Science and ICT), Korea

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ETRA '18

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ETRA '18: 2018 Symposium on Eye Tracking Research and Applications

June 15, 2018

Warsaw, Poland

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ETRA '25

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2025 Symposium on Eye Tracking Research and Applications

May 26 - 29, 2025

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Cited By

Zacheo GBuzimkic ALa Roi AVan Schie AStaudt YBurch M(2023)FitYou: A Personalized Dashboard for Health DataProceedings of the 16th International Symposium on Visual Information Communication and Interaction10.1145/3615522.3615526(1-5)Online publication date: 22-Sep-2023
https://dl.acm.org/doi/10.1145/3615522.3615526
Krassanakis V(2021)Aggregated Gaze Data Visualization Using Contiguous Irregular CartogramsDigital10.3390/digital10300101:3(130-144)Online publication date: 30-Jun-2021
https://doi.org/10.3390/digital1030010
Bakardzhiev Hvan der Burgt MMartins Evan den Dool BJansen Cvan Scheppingen DWallner GBurch M(2021)A Web-Based Eye Tracking Data Visualization ToolPattern Recognition. ICPR International Workshops and Challenges10.1007/978-3-030-68796-0_29(405-419)Online publication date: 21-Feb-2021
https://doi.org/10.1007/978-3-030-68796-0_29
Burch MTimmermans N(2020)Sankeye: A Visualization Technique for AOI TransitionsACM Symposium on Eye Tracking Research and Applications10.1145/3379156.3391833(1-5)Online publication date: 2-Jun-2020
https://dl.acm.org/doi/10.1145/3379156.3391833
Wu HNiedermann BTakahashi SRoberts MNöllenburg M(2020)A Survey on Transit Map Layout – from Design, Machine, and Human PerspectivesComputer Graphics Forum10.1111/cgf.1403039:3(619-646)Online publication date: 18-Jul-2020
https://doi.org/10.1111/cgf.14030
Burch MVeneri ASun B(2020)Exploring eye movement data with image-based clusteringJournal of Visualization10.1007/s12650-020-00656-9Online publication date: 5-Jul-2020
https://doi.org/10.1007/s12650-020-00656-9
Miyagi YRodrigues NWeiskopf DItoh T(2019)Extraction of AOI Transition Patterns by N-grams from Symbolized Eye Tracking Scan-paths and Visualization as TrajectoriesN-gramによる視線軌跡からのAOI推移パターン抽出と軌跡形状の可視化The Journal of the Society for Art and Science10.3756/artsci.18.12518:4(125-133)Online publication date: 5-Nov-2019
https://doi.org/10.3756/artsci.18.125
Burch MKrejtz KSharif B(2019)Interaction graphsProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3317960.3321617(1-5)Online publication date: 25-Jun-2019
https://dl.acm.org/doi/10.1145/3317960.3321617
Burch MKumar ATimmermans NKrejtz KSharif B(2019)An interactive web-based visual analytics tool for detecting strategic eye movement patternsProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3317960.3321615(1-5)Online publication date: 25-Jun-2019
https://dl.acm.org/doi/10.1145/3317960.3321615
Burch MKumar AMueller KKervezee TNuijten WOostenbach RPeeters LSmit GKrejtz KSharif B(2019)Finding the outliers in scanpath dataProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3317958.3318225(1-5)Online publication date: 25-Jun-2019
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