abstract

Demo of the EyeSAC System for Visual Synchronization, Cleaning, and Annotation of Eye Movement Data

Authors:

Debesh Mohanty,

Daniel Weiskopf,

Klaus MuellerAuthors Info & Claims

ETRA '20 Adjunct: ACM Symposium on Eye Tracking Research and Applications

Article No.: 4, Pages 1 - 3

https://doi.org/10.1145/3379157.3391988

Published: 02 June 2020 Publication History

Abstract

Eye movement data analysis plays an important role in examining human cognitive processes and perceptions. Such analysis at times needs data recording from additional sources too during experiments. In this paper, we study a pair programming based collaboration using two eye trackers, stimulus recording, and an external camera recording. To analyze the collected data, we introduce the EyeSAC system that synchronizes the data from different sources and that removes the noisy and missing gazes from eye tracking data with the help of visual feedback from the external recording. The synchronized and cleaned data is further annotated using our system and then exported for further analysis.

References

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Tanja Blascheck, Kuno Kurzhals, Michael Raschke, Stefan Strohmaier, Daniel Weiskopf, and Thomas Ertl. 2016. AOI hierarchies for visual exploration of fixation sequences. In Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications. 111–118.

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Kenneth Holmqvist, Marcus Nyström, Richard Andersson, Richard Dewhurst, Jarodzka Halszka, and Joost van de Weijer. 2011. Eye Tracking : A Comprehensive Guide to Methods and Measures. Oxford University Press.

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Ayush Kumar, Rudolf Netzel, Daniel Weiskopf, Michael Burch, and Klaus Mueller. 2018b. Visual multi-metric grouping of eye-tracking data. Journal of Eye Movement Research 10, 5 (2018), 10.

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Cited By

Weiskopf D(2024)Bridging Quantitative and Qualitative Methods for Visualization Research: A Data/Semantics Perspective in Light of Advanced AI2024 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV)10.1109/BELIV64461.2024.00019(119-128)Online publication date: 14-Oct-2024
https://doi.org/10.1109/BELIV64461.2024.00019
Koch MKurzhals KBurch MWeiskopf D(2023)Visualization Psychology for Eye Tracking EvaluationVisualization Psychology10.1007/978-3-031-34738-2_10(243-260)Online publication date: 7-Nov-2023
https://doi.org/10.1007/978-3-031-34738-2_10
Kumar AHowlader PGarcia RWeiskopf DMueller K(2020)Challenges in Interpretability of Neural Networks for Eye Movement DataACM Symposium on Eye Tracking Research and Applications10.1145/3379156.3391361(1-5)Online publication date: 2-Jun-2020
https://dl.acm.org/doi/10.1145/3379156.3391361

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Information

Published In

cover image ACM Conferences

ETRA '20 Adjunct: ACM Symposium on Eye Tracking Research and Applications

June 2020

200 pages

ISBN:9781450371353

DOI:10.1145/3379157

Editors:
Andreas Bulling
University of Stuttgart, Germany
,
Anke Huckauf
Ulm University, Germany
,
Eakta Jain
University of Florida, USA
,
Ralph Radach
University of Wuppertal, Germany
,
Daniel Weiskopf
University of Stuttgart, Germany

Copyright © 2020 Owner/Author.

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 June 2020

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ETRA '20

Sponsor:

ETRA '20: 2020 Symposium on Eye Tracking Research and Applications

June 2 - 5, 2020

Stuttgart, Germany

Acceptance Rates

Overall Acceptance Rate 69 of 137 submissions, 50%

Upcoming Conference

ETRA '25

Sponsor:
sigchi
sigchi

2025 Symposium on Eye Tracking Research and Applications

May 26 - 29, 2025

Tokyo , Japan

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Cited By

Weiskopf D(2024)Bridging Quantitative and Qualitative Methods for Visualization Research: A Data/Semantics Perspective in Light of Advanced AI2024 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV)10.1109/BELIV64461.2024.00019(119-128)Online publication date: 14-Oct-2024
https://doi.org/10.1109/BELIV64461.2024.00019
Koch MKurzhals KBurch MWeiskopf D(2023)Visualization Psychology for Eye Tracking EvaluationVisualization Psychology10.1007/978-3-031-34738-2_10(243-260)Online publication date: 7-Nov-2023
https://doi.org/10.1007/978-3-031-34738-2_10
Kumar AHowlader PGarcia RWeiskopf DMueller K(2020)Challenges in Interpretability of Neural Networks for Eye Movement DataACM Symposium on Eye Tracking Research and Applications10.1145/3379156.3391361(1-5)Online publication date: 2-Jun-2020
https://dl.acm.org/doi/10.1145/3379156.3391361

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