Gazealytics: A unified and flexible visual toolkit for exploratory and comparative gaze analysis

Kun-Ting Chen; Arnaud Prouzeau; Joshua Langmead; Ryan T. Whitelock-Jones; Lee Lawrence; Tim Dwyer; Christophe Hurter; Daniel Weiskopf; Sarah Goodwin

doi:10.1145/3588015.3589844

Gazealytics: A unified and flexible visual toolkit for exploratory and comparative gaze analysis

Kun-Ting Chen, Arnaud Prouzeau, Joshua Langmead, Ryan T. Whitelock-Jones, Lee Lawrence, Tim Dwyer, Christophe Hurter, Daniel Weiskopf, Sarah Goodwin

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

4 Citations (Scopus)

Abstract

We present a novel, web-based visual eye-tracking analytics tool called Gazealytics. Our open-source toolkit features a unified combination of gaze analytics features that support flexible exploratory analysis, along with annotation of areas of interest (AOI) and filter options based on multiple criteria to visually analyse eye tracking data across time and space. Gazealytics features coordinated views unifying spatiotemporal exploration of fixations and scanpaths for various analytical tasks. A novel matrix representation allows analysis of relationships between such spatial or temporal features. Data can be grouped across samples, user-defined AOIs or time windows of interest (TWIs) to support aggregate or filtered analysis of gaze activity. This approach exceeds the capabilities of existing systems by supporting flexible comparison between and within subjects, hypothesis generation, data analysis and communication of insights. We demonstrate in a walkthrough that Gazealytics supports multiple types of eye tracking datasets and analytical tasks.

Original language	English
Title of host publication	Proceedings - ETRA 2023
Subtitle of host publication	ACM Symposium on Eye Tracking Research and Applications
Editors	Stephen N. Spencer
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Number of pages	7
ISBN (Electronic)	9798400701504
DOIs	https://doi.org/10.1145/3588015.3589844
Publication status	Published - 2023
Event	Annual ACM Symposium on Eye Tracking Research and Applications 2023 - Tubingen, Germany Duration: 30 May 2023 → 2 Jun 2023 Conference number: 15th https://dl.acm.org/doi/proceedings/10.1145/3588015 (Proceedings) https://etra.acm.org/2023/ (Website)

Conference

Conference	Annual ACM Symposium on Eye Tracking Research and Applications 2023
Abbreviated title	ETRA 2023
Country/Territory	Germany
City	Tubingen
Period	30/05/23 → 2/06/23
Internet address	https://dl.acm.org/doi/proceedings/10.1145/3588015 (Proceedings) https://etra.acm.org/2023/ (Website)

Keywords

area of interest
Eye tracking
group-level visualisation
matrix-based overview
time window of interest
visual analytics

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10.1145/3588015.3589844

Cite this

Chen, K.-T., Prouzeau, A., Langmead, J., Whitelock-Jones, R. T., Lawrence, L., Dwyer, T., Hurter, C., Weiskopf, D., & Goodwin, S. (2023). Gazealytics: A unified and flexible visual toolkit for exploratory and comparative gaze analysis. In S. N. Spencer (Ed.), Proceedings - ETRA 2023: ACM Symposium on Eye Tracking Research and Applications Article 69 Association for Computing Machinery (ACM). https://doi.org/10.1145/3588015.3589844

@inproceedings{b122d8e1a2f542ec923ec980df252757,

title = "Gazealytics: A unified and flexible visual toolkit for exploratory and comparative gaze analysis",

abstract = "We present a novel, web-based visual eye-tracking analytics tool called Gazealytics. Our open-source toolkit features a unified combination of gaze analytics features that support flexible exploratory analysis, along with annotation of areas of interest (AOI) and filter options based on multiple criteria to visually analyse eye tracking data across time and space. Gazealytics features coordinated views unifying spatiotemporal exploration of fixations and scanpaths for various analytical tasks. A novel matrix representation allows analysis of relationships between such spatial or temporal features. Data can be grouped across samples, user-defined AOIs or time windows of interest (TWIs) to support aggregate or filtered analysis of gaze activity. This approach exceeds the capabilities of existing systems by supporting flexible comparison between and within subjects, hypothesis generation, data analysis and communication of insights. We demonstrate in a walkthrough that Gazealytics supports multiple types of eye tracking datasets and analytical tasks.",

keywords = "area of interest, Eye tracking, group-level visualisation, matrix-based overview, time window of interest, visual analytics",

author = "Kun-Ting Chen and Arnaud Prouzeau and Joshua Langmead and Whitelock-Jones, {Ryan T.} and Lee Lawrence and Tim Dwyer and Christophe Hurter and Daniel Weiskopf and Sarah Goodwin",

note = "Funding Information: The authors would like to thank Chunlei Chang for actively using the toolkit and provide us his feedback, Ishwari Bhade for co-developing Gazealytics, Kuno Kurzhals for the discussion of visual eye tracking toolkit comparisons, as well as the anonymous reviewers for their helpful comments on this paper. This research is funded by Monash Faculty of Information Technology and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 251654672 – TRR 161. Publisher Copyright: {\textcopyright} 2023 ACM.; Annual ACM Symposium on Eye Tracking Research and Applications 2023, ETRA 2023 ; Conference date: 30-05-2023 Through 02-06-2023",

year = "2023",

doi = "10.1145/3588015.3589844",

language = "English",

editor = "Spencer, {Stephen N.}",

booktitle = "Proceedings - ETRA 2023",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

url = "https://dl.acm.org/doi/proceedings/10.1145/3588015, https://etra.acm.org/2023/",

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Chen, K-T, Prouzeau, A, Langmead, J, Whitelock-Jones, RT, Lawrence, L , Dwyer, T, Hurter, C, Weiskopf, D & Goodwin, S 2023, Gazealytics: A unified and flexible visual toolkit for exploratory and comparative gaze analysis. in SN Spencer (ed.), Proceedings - ETRA 2023: ACM Symposium on Eye Tracking Research and Applications., 69, Association for Computing Machinery (ACM), New York NY USA, Annual ACM Symposium on Eye Tracking Research and Applications 2023, Tubingen, Germany, 30/05/23. https://doi.org/10.1145/3588015.3589844

Gazealytics: A unified and flexible visual toolkit for exploratory and comparative gaze analysis. / Chen, Kun-Ting; Prouzeau, Arnaud; Langmead, Joshua et al.
Proceedings - ETRA 2023: ACM Symposium on Eye Tracking Research and Applications. ed. / Stephen N. Spencer. New York NY USA: Association for Computing Machinery (ACM), 2023. 69.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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T1 - Gazealytics

T2 - Annual ACM Symposium on Eye Tracking Research and Applications 2023

AU - Chen, Kun-Ting

AU - Prouzeau, Arnaud

AU - Langmead, Joshua

AU - Whitelock-Jones, Ryan T.

AU - Lawrence, Lee

AU - Dwyer, Tim

AU - Hurter, Christophe

AU - Weiskopf, Daniel

AU - Goodwin, Sarah

N1 - Conference code: 15th

PY - 2023

Y1 - 2023

N2 - We present a novel, web-based visual eye-tracking analytics tool called Gazealytics. Our open-source toolkit features a unified combination of gaze analytics features that support flexible exploratory analysis, along with annotation of areas of interest (AOI) and filter options based on multiple criteria to visually analyse eye tracking data across time and space. Gazealytics features coordinated views unifying spatiotemporal exploration of fixations and scanpaths for various analytical tasks. A novel matrix representation allows analysis of relationships between such spatial or temporal features. Data can be grouped across samples, user-defined AOIs or time windows of interest (TWIs) to support aggregate or filtered analysis of gaze activity. This approach exceeds the capabilities of existing systems by supporting flexible comparison between and within subjects, hypothesis generation, data analysis and communication of insights. We demonstrate in a walkthrough that Gazealytics supports multiple types of eye tracking datasets and analytical tasks.

AB - We present a novel, web-based visual eye-tracking analytics tool called Gazealytics. Our open-source toolkit features a unified combination of gaze analytics features that support flexible exploratory analysis, along with annotation of areas of interest (AOI) and filter options based on multiple criteria to visually analyse eye tracking data across time and space. Gazealytics features coordinated views unifying spatiotemporal exploration of fixations and scanpaths for various analytical tasks. A novel matrix representation allows analysis of relationships between such spatial or temporal features. Data can be grouped across samples, user-defined AOIs or time windows of interest (TWIs) to support aggregate or filtered analysis of gaze activity. This approach exceeds the capabilities of existing systems by supporting flexible comparison between and within subjects, hypothesis generation, data analysis and communication of insights. We demonstrate in a walkthrough that Gazealytics supports multiple types of eye tracking datasets and analytical tasks.

KW - area of interest

KW - Eye tracking

KW - group-level visualisation

KW - matrix-based overview

KW - time window of interest

KW - visual analytics

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U2 - 10.1145/3588015.3589844

DO - 10.1145/3588015.3589844

M3 - Conference Paper

AN - SCOPUS:85161103985

BT - Proceedings - ETRA 2023

A2 - Spencer, Stephen N.

PB - Association for Computing Machinery (ACM)

CY - New York NY USA

Y2 - 30 May 2023 through 2 June 2023

ER -

Chen KT, Prouzeau A, Langmead J, Whitelock-Jones RT, Lawrence L , Dwyer T et al. Gazealytics: A unified and flexible visual toolkit for exploratory and comparative gaze analysis. In Spencer SN, editor, Proceedings - ETRA 2023: ACM Symposium on Eye Tracking Research and Applications. New York NY USA: Association for Computing Machinery (ACM). 2023. 69 doi: 10.1145/3588015.3589844

Gazealytics: A unified and flexible visual toolkit for exploratory and comparative gaze analysis

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Keywords

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