short-paper

Iris: a tool for designing contextually relevant gaze visualizations

Authors:

Sarah D'Angelo,

Darren GergleAuthors Info & Claims

ETRA '19: Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications

Article No.: 79, Pages 1 - 5

https://doi.org/10.1145/3317958.3318228

Published: 25 June 2019 Publication History

Abstract

Advances in eye tracking technology have enabled new interaction techniques and gaze-based applications. However, the techniques for visualizing gaze information have remained relatively unchanged. We developed Iris, a tool to support the design of contextually relevant gaze visualizations. Iris allows users to explore displaying different features of gaze behavior including the current fixation point, duration, and saccades. Stylistic elements such as color, opacity, and smoothness can also be adjusted to give users creative and detailed control over the design of their gaze visualization. We present the Iris system and perform a user study to examine how participants can make use of the tool to devise contextually relevant gaze visualizations for a variety of collaborative tasks. We show that changes in color and opacity as well as variation in gaze trails can be adjusted to create meaningful gaze visualizations that fit the context of use.

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Cited By

Prather JReeves BLeinonen JMacNeil SRandrianasolo ABecker BKimmel BWright JBriggs B(2024)The Widening Gap: The Benefits and Harms of Generative AI for Novice ProgrammersProceedings of the 2024 ACM Conference on International Computing Education Research - Volume 110.1145/3632620.3671116(469-486)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.1145/3632620.3671116
Zhang LLiu XChen QZhou YXu T(2022)EyeBox: A Toolbox based on Python3 for Eye Movement AnalysisProcedia Computer Science10.1016/j.procs.2022.03.024201(166-173)Online publication date: 2022
https://doi.org/10.1016/j.procs.2022.03.024
Prinzler MSchröder CAl Zaidawi SZachmann GManeth S(2021)Visualizing Prediction Correctness of Eye Tracking ClassifiersACM Symposium on Eye Tracking Research and Applications10.1145/3448018.3457997(1-7)Online publication date: 25-May-2021
https://dl.acm.org/doi/10.1145/3448018.3457997
Show More Cited By

Index Terms

Iris: a tool for designing contextually relevant gaze visualizations
1. Human-centered computing
  1. Visualization
    1. Visualization systems and tools
      1. Visualization toolkits

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Published In

cover image ACM Conferences

ETRA '19: Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications

June 2019

623 pages

ISBN:9781450367097

DOI:10.1145/3314111

Conference Chairs:
Krzysztof Krejtz
SWPS University, Poland
,
Bonita Sharif
University of Nebraska-Lincoln

Copyright © 2019 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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Published: 25 June 2019

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ETRA '19

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ETRA '19: 2019 Symposium on Eye Tracking Research and Applications

June 25 - 28, 2019

Colorado, Denver

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Cited By

Prather JReeves BLeinonen JMacNeil SRandrianasolo ABecker BKimmel BWright JBriggs B(2024)The Widening Gap: The Benefits and Harms of Generative AI for Novice ProgrammersProceedings of the 2024 ACM Conference on International Computing Education Research - Volume 110.1145/3632620.3671116(469-486)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.1145/3632620.3671116
Zhang LLiu XChen QZhou YXu T(2022)EyeBox: A Toolbox based on Python3 for Eye Movement AnalysisProcedia Computer Science10.1016/j.procs.2022.03.024201(166-173)Online publication date: 2022
https://doi.org/10.1016/j.procs.2022.03.024
Prinzler MSchröder CAl Zaidawi SZachmann GManeth S(2021)Visualizing Prediction Correctness of Eye Tracking ClassifiersACM Symposium on Eye Tracking Research and Applications10.1145/3448018.3457997(1-7)Online publication date: 25-May-2021
https://dl.acm.org/doi/10.1145/3448018.3457997
Newn JSingh RAllison FMadumal PVelloso EVetere F(2019)Designing Interactions with Intention-Aware Gaze-Enabled Artificial AgentsHuman-Computer Interaction – INTERACT 201910.1007/978-3-030-29384-0_17(255-281)Online publication date: 2-Sep-2019
https://dl.acm.org/doi/10.1007/978-3-030-29384-0_17

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