EyeClouds: A Visualization and Analysis Tool for Exploring Eye Movement Data

Michael Burch; Alberto Veneri; Bangjie Sun

doi:10.1145/3356422.3356423

EyeClouds: A Visualization and Analysis Tool for Exploring Eye Movement Data

Michael Burch, Alberto Veneri, Bangjie Sun

Visualization

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

13 Citations (Scopus)

Abstract

In this paper, we discuss and evaluate the advantages and disadvantages of several techniques to visualize and analyze eye movement data tracked and recorded from public transport map viewers in a formerly conducted eye tracking experiment. Such techniques include heat maps and gaze stripes. To overcome the disadvantages and improve the effectiveness of those techniques, we present a viable solution that makes use of existing techniques such as heat maps and gaze stripes, as well as attention clouds which are inspired by the general concept of word clouds. We also develop a web application with interactive attention clouds, named the EyeCloud, to put theory into practice. The main objective of this paper is to help public transport map designers and producers gain feedback and insights on how the current design of the map can be further improved, by leveraging on the visualization tool. In addition, this visualization tool, the EyeCloud, can be easily extended to many other purposes with various types of data. It could be possibly applied to entertainment industries, for instance, to track the attention of the film audiences in order to improve the advertisements.

Original language	English
Title of host publication	Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019
Subtitle of host publication	VINCI 2019, Shanghai, China, September 20-22, 2019
Place of Publication	New York NY United States
Publisher	Association for Computing Machinery, Inc
Pages	8:1-8:8
ISBN (Electronic)	9781450376266
ISBN (Print)	978-1-4503-7626-6
DOIs	https://doi.org/10.1145/3356422.3356423
Publication status	Published - 20 Sept 2019
Event	12th International Symposium on Visual Information Communication and Interaction - Shanghai, China Duration: 20 Sept 2019 → 22 Sept 2019 https://dl.acm.org/doi/proceedings/10.1145/3356422

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	12th International Symposium on Visual Information Communication and Interaction
Abbreviated title	VINCI 2019
Country/Territory	China
City	Shanghai
Period	20/09/19 → 22/09/19
Internet address	https://dl.acm.org/doi/proceedings/10.1145/3356422

Keywords

Attention cloud
Eye movement data
Gaze stripes
Heat map
Public transport map
Visualization

Access to Document

10.1145/3356422.3356423

Cite this

Burch, M., Veneri, A., & Sun, B. (2019). EyeClouds: A Visualization and Analysis Tool for Exploring Eye Movement Data. In Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019: VINCI 2019, Shanghai, China, September 20-22, 2019 (pp. 8:1-8:8). Article 8 (ACM International Conference Proceeding Series). Association for Computing Machinery, Inc. https://doi.org/10.1145/3356422.3356423

Burch, Michael ; Veneri, Alberto ; Sun, Bangjie. / EyeClouds: A Visualization and Analysis Tool for Exploring Eye Movement Data. Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019: VINCI 2019, Shanghai, China, September 20-22, 2019. New York NY United States : Association for Computing Machinery, Inc, 2019. pp. 8:1-8:8 (ACM International Conference Proceeding Series).

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title = "EyeClouds: A Visualization and Analysis Tool for Exploring Eye Movement Data",

abstract = "In this paper, we discuss and evaluate the advantages and disadvantages of several techniques to visualize and analyze eye movement data tracked and recorded from public transport map viewers in a formerly conducted eye tracking experiment. Such techniques include heat maps and gaze stripes. To overcome the disadvantages and improve the effectiveness of those techniques, we present a viable solution that makes use of existing techniques such as heat maps and gaze stripes, as well as attention clouds which are inspired by the general concept of word clouds. We also develop a web application with interactive attention clouds, named the EyeCloud, to put theory into practice. The main objective of this paper is to help public transport map designers and producers gain feedback and insights on how the current design of the map can be further improved, by leveraging on the visualization tool. In addition, this visualization tool, the EyeCloud, can be easily extended to many other purposes with various types of data. It could be possibly applied to entertainment industries, for instance, to track the attention of the film audiences in order to improve the advertisements.",

keywords = "Attention cloud, Eye movement data, Gaze stripes, Heat map, Public transport map, Visualization",

author = "Michael Burch and Alberto Veneri and Bangjie Sun",

year = "2019",

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Burch, M, Veneri, A & Sun, B 2019, EyeClouds: A Visualization and Analysis Tool for Exploring Eye Movement Data. in Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019: VINCI 2019, Shanghai, China, September 20-22, 2019., 8 , ACM International Conference Proceeding Series, Association for Computing Machinery, Inc, New York NY United States, pp. 8:1-8:8, 12th International Symposium on Visual Information Communication and Interaction, Shanghai, China, 20/09/19. https://doi.org/10.1145/3356422.3356423

EyeClouds: A Visualization and Analysis Tool for Exploring Eye Movement Data. / Burch, Michael; Veneri, Alberto; Sun, Bangjie.
Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019: VINCI 2019, Shanghai, China, September 20-22, 2019. New York NY United States: Association for Computing Machinery, Inc, 2019. p. 8:1-8:8 8 (ACM International Conference Proceeding Series).

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

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AU - Burch, Michael

AU - Veneri, Alberto

AU - Sun, Bangjie

PY - 2019/9/20

Y1 - 2019/9/20

N2 - In this paper, we discuss and evaluate the advantages and disadvantages of several techniques to visualize and analyze eye movement data tracked and recorded from public transport map viewers in a formerly conducted eye tracking experiment. Such techniques include heat maps and gaze stripes. To overcome the disadvantages and improve the effectiveness of those techniques, we present a viable solution that makes use of existing techniques such as heat maps and gaze stripes, as well as attention clouds which are inspired by the general concept of word clouds. We also develop a web application with interactive attention clouds, named the EyeCloud, to put theory into practice. The main objective of this paper is to help public transport map designers and producers gain feedback and insights on how the current design of the map can be further improved, by leveraging on the visualization tool. In addition, this visualization tool, the EyeCloud, can be easily extended to many other purposes with various types of data. It could be possibly applied to entertainment industries, for instance, to track the attention of the film audiences in order to improve the advertisements.

AB - In this paper, we discuss and evaluate the advantages and disadvantages of several techniques to visualize and analyze eye movement data tracked and recorded from public transport map viewers in a formerly conducted eye tracking experiment. Such techniques include heat maps and gaze stripes. To overcome the disadvantages and improve the effectiveness of those techniques, we present a viable solution that makes use of existing techniques such as heat maps and gaze stripes, as well as attention clouds which are inspired by the general concept of word clouds. We also develop a web application with interactive attention clouds, named the EyeCloud, to put theory into practice. The main objective of this paper is to help public transport map designers and producers gain feedback and insights on how the current design of the map can be further improved, by leveraging on the visualization tool. In addition, this visualization tool, the EyeCloud, can be easily extended to many other purposes with various types of data. It could be possibly applied to entertainment industries, for instance, to track the attention of the film audiences in order to improve the advertisements.

KW - Attention cloud

KW - Eye movement data

KW - Gaze stripes

KW - Heat map

KW - Public transport map

KW - Visualization

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M3 - Conference contribution

SN - 978-1-4503-7626-6

T3 - ACM International Conference Proceeding Series

SP - 8:1-8:8

BT - Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019

PB - Association for Computing Machinery, Inc

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T2 - 12th International Symposium on Visual Information Communication and Interaction

Y2 - 20 September 2019 through 22 September 2019

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Burch M, Veneri A, Sun B. EyeClouds: A Visualization and Analysis Tool for Exploring Eye Movement Data. In Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019: VINCI 2019, Shanghai, China, September 20-22, 2019. New York NY United States: Association for Computing Machinery, Inc. 2019. p. 8:1-8:8. 8 . (ACM International Conference Proceeding Series). doi: 10.1145/3356422.3356423

EyeClouds: A Visualization and Analysis Tool for Exploring Eye Movement Data

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Keywords

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