Article

iComp: a tool for scanpath visualization and comparison

Authors:

John Heminghous,

Andrew T. DuchowskiAuthors Info & Claims

APGV '06: Proceedings of the 3rd symposium on Applied perception in graphics and visualization

Page 152

https://doi.org/10.1145/1140491.1140529

Published: 28 July 2006 Publication History

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Abstract

To evaluate differences across viewers' visual attentional patterns, scanpath comparison has recently gained popularity in eye tracking studies, supplementing traditional objective (performance) and subjective measures (e.g., heat maps or [retrospective] talk-aloud). We introduce iComp, an open-source visualization tool that implements quantitative scanpath comparison in loci and sequence. iComp can be used to objectively compare the attentional qualities of synthetic images.

References

[1]

Privitera, C. M. and Stark, L. W. 2000. Algorithms for Defining Visual Regions-of-Interest: Comparison with Eye Fixations. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 22, 9, 970--982.

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[2]

Santella, A. and DeCarlo, D. 2004. Robust Clustering of Eye Movement Recordings for Quantification of Visual Interest. In Eye Tracking Research & Applications (ETRA) Symposium. ACM, San Antonio, TX, 27--34.

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[3]

West, J. M., Haake, A. R., Rozanski, E. P., and Karn, K. S. 2006. eyePatterns: Software for Identifying Patterns and Similarities Across Fixation Sequences. In Eye Tracking Research & Applications (ETRA) Symposium. ACM, San Diego, CA, 149--154.

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Cited By

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Li CSymanzik J(2024)The Linked Microposter Plots Family as New Means for the Visualization of Eye Tracking DataHuman Interface and the Management of Information10.1007/978-3-031-60114-9_6(65-82)Online publication date: 29-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-60114-9_6
Byrne SMaquiling VReynolds APolonio LCastner NKasneci E(2023)Exploring the Effects of Scanpath Feature Engineering for Supervised Image Classification ModelsProceedings of the ACM on Human-Computer Interaction10.1145/35911307:ETRA(1-18)Online publication date: 18-May-2023
https://dl.acm.org/doi/10.1145/3591130
Fuhl WZabel SHarbig TMoldt JWietek THerrmann-Werner ANieselt K(2023)Area of interest adaption using feature importanceProceedings of the 2023 Symposium on Eye Tracking Research and Applications10.1145/3588015.3588422(1-7)Online publication date: 30-May-2023
https://dl.acm.org/doi/10.1145/3588015.3588422
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Index Terms

iComp: a tool for scanpath visualization and comparison
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Animation

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Published In

APGV '06: Proceedings of the 3rd symposium on Applied perception in graphics and visualization

July 2006

181 pages

ISBN:1595934294

DOI:10.1145/1140491

Conference Chairs:
Roland W. Fleming
MPI for Biological Cybernetics
,
Sunghee Kim
Gettysburg College

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 July 2006

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SIGGRAPH

APGV06: ACM Symposium on Applied Perception in Graphics and Visualization

July 28 - 29, 2006

Massachusetts, Boston, USA

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Overall Acceptance Rate 19 of 33 submissions, 58%

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Li CSymanzik J(2024)The Linked Microposter Plots Family as New Means for the Visualization of Eye Tracking DataHuman Interface and the Management of Information10.1007/978-3-031-60114-9_6(65-82)Online publication date: 29-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-60114-9_6
Byrne SMaquiling VReynolds APolonio LCastner NKasneci E(2023)Exploring the Effects of Scanpath Feature Engineering for Supervised Image Classification ModelsProceedings of the ACM on Human-Computer Interaction10.1145/35911307:ETRA(1-18)Online publication date: 18-May-2023
https://dl.acm.org/doi/10.1145/3591130
Fuhl WZabel SHarbig TMoldt JWietek THerrmann-Werner ANieselt K(2023)Area of interest adaption using feature importanceProceedings of the 2023 Symposium on Eye Tracking Research and Applications10.1145/3588015.3588422(1-7)Online publication date: 30-May-2023
https://dl.acm.org/doi/10.1145/3588015.3588422
Qiao XCao YLau R(2023)Design Order Guided Visual Note Layout OptimizationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.317183929:9(3922-3936)Online publication date: 1-Sep-2023
https://doi.org/10.1109/TVCG.2022.3171839
Chee YChrisnata JKiah HNguyen T(2019)Deciding the Confusability of Words under Tandem Repeats in Linear TimeACM Transactions on Algorithms10.1145/333851415:3(1-22)Online publication date: 16-Jul-2019
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Chakrabarty DNegahbani M(2019)Generalized Center Problems with OutliersACM Transactions on Algorithms10.1145/333851315:3(1-14)Online publication date: 8-Jul-2019
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Bei XGarg JHoefer M(2019)Ascending-Price Algorithms for Unknown MarketsACM Transactions on Algorithms10.1145/331939415:3(1-33)Online publication date: 7-Jun-2019
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Deitelhoff FHarrer AKienle AKrejtz KSharif B(2019)An intuitive visualization for rapid data analysisProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3317958.3318227(1-5)Online publication date: 25-Jun-2019
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Reani MPeek NJay CSharif BKrejtz K(2018)An investigation of the effects of n-gram length in scanpath analysis for eye-tracking researchProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications10.1145/3204493.3204527(1-8)Online publication date: 14-Jun-2018
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Rafalak MDeja DWierzbicki ANielek RKąkol M(2016)Web Content Classification Using Distributions of Subjective Quality EvaluationsACM Transactions on the Web10.1145/299413210:4(1-30)Online publication date: 15-Nov-2016
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