Sankeye: A Visualization Technique for AOI Transitions

Michael Burch; Neil Neal Timmermans

doi:10.1145/3379156.3391833

Sankeye: A Visualization Technique for AOI Transitions

Michael Burch, Neil Neal Timmermans

Visualization

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

6 Citations (Scopus)

Abstract

Visually exploring AOI transitions aggregated from a group of eye tracked people is a challenging task. Many visualizations typically produce visual clutter or aggregate the temporal or visit order information in the data hiding the visual task solution strategies for the observer. In this paper we introduce the Sankeye technique that is based on the visual metaphor of Sankey diagrams applied to eye movement data, hence the name Sankeye. The technique encodes the frequencies of AOI transitions into differently thick rivers and subrivers. The distributions of the AOI transitions are visually represented by splitting and merging subrivers in a left-to-right reading direction. The technique allows to interactively adapt the number of predefined AOIs as well as the transition frequency number threshold with the goal to derive patterns and insights from eye movement data.

Original language	English
Title of host publication	ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and Applications
Editors	Stephen N. Spencer
Publisher	Association for Computing Machinery, Inc
Pages	1–5
Number of pages	5
ISBN (Electronic)	9781450371346
ISBN (Print)	978-1-4503-7134-6
DOIs	https://doi.org/10.1145/3379156.3391833
Publication status	Published - Jun 2020
Event	ETRA 2020 ACM Symposium on Eye Tracking Research and Applications - Stuttgart, Germany Duration: 2 Jun 2020 → 5 Jun 2020 https://etra.acm.org/2020/#:~:text=About%20ETRA%202020%3A,under%20the%20motto%20Bridging%20Communities.

Conference

Conference	ETRA 2020 ACM Symposium on Eye Tracking Research and Applications
Abbreviated title	ETRA 2020
Country/Territory	Germany
City	Stuttgart
Period	2/06/20 → 5/06/20
Internet address	https://etra.acm.org/2020/#:~:text=About%20ETRA%202020%3A,under%20the%20motto%20Bridging%20Communities.

Keywords

Areas of interest
Eye tracking
Information visualization
Sankey diagrams
Transition matrices

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10.1145/3379156.3391833

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title = "Sankeye: A Visualization Technique for AOI Transitions",

abstract = "Visually exploring AOI transitions aggregated from a group of eye tracked people is a challenging task. Many visualizations typically produce visual clutter or aggregate the temporal or visit order information in the data hiding the visual task solution strategies for the observer. In this paper we introduce the Sankeye technique that is based on the visual metaphor of Sankey diagrams applied to eye movement data, hence the name Sankeye. The technique encodes the frequencies of AOI transitions into differently thick rivers and subrivers. The distributions of the AOI transitions are visually represented by splitting and merging subrivers in a left-to-right reading direction. The technique allows to interactively adapt the number of predefined AOIs as well as the transition frequency number threshold with the goal to derive patterns and insights from eye movement data.",

keywords = "Areas of interest, Eye tracking, Information visualization, Sankey diagrams, Transition matrices",

author = "Michael Burch and Timmermans, {Neil Neal}",

year = "2020",

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booktitle = "ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and Applications",

publisher = "Association for Computing Machinery, Inc",

address = "United States",

note = "ETRA 2020 ACM Symposium on Eye Tracking Research and Applications, ETRA 2020 ; Conference date: 02-06-2020 Through 05-06-2020",

url = "https://etra.acm.org/2020/#:~:text=About%20ETRA%202020%3A,under%20the%20motto%20Bridging%20Communities.",

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Burch, M & Timmermans, NN 2020, Sankeye: A Visualization Technique for AOI Transitions. in SN Spencer (ed.), ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and Applications., 48 , Association for Computing Machinery, Inc, pp. 1–5, ETRA 2020 ACM Symposium on Eye Tracking Research and Applications, Stuttgart, Germany, 2/06/20. https://doi.org/10.1145/3379156.3391833

Sankeye: A Visualization Technique for AOI Transitions. / Burch, Michael; Timmermans, Neil Neal.
ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and Applications. ed. / Stephen N. Spencer. Association for Computing Machinery, Inc, 2020. p. 1–5 48 .

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

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AU - Timmermans, Neil Neal

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AB - Visually exploring AOI transitions aggregated from a group of eye tracked people is a challenging task. Many visualizations typically produce visual clutter or aggregate the temporal or visit order information in the data hiding the visual task solution strategies for the observer. In this paper we introduce the Sankeye technique that is based on the visual metaphor of Sankey diagrams applied to eye movement data, hence the name Sankeye. The technique encodes the frequencies of AOI transitions into differently thick rivers and subrivers. The distributions of the AOI transitions are visually represented by splitting and merging subrivers in a left-to-right reading direction. The technique allows to interactively adapt the number of predefined AOIs as well as the transition frequency number threshold with the goal to derive patterns and insights from eye movement data.

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KW - Eye tracking

KW - Information visualization

KW - Sankey diagrams

KW - Transition matrices

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Sankeye: A Visualization Technique for AOI Transitions

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