A visualization tool for eye tracking data analysis in the web
A visualization tool for eye tracking data analysis in the web
Usability analysis plays a significant role in optimizing Web interaction by understanding the behavior of end users. To support such analysis, we present a tool to visualize gaze and mouse data of Web site interactions. The proposed tool provides not only the traditional visualizations with fixations, scanpath, and heatmap, but allows for more detailed analysis with data clustering, demographic correlation, and advanced visualization like attention flow and 3D-scanpath. To demonstrate the usefulness of the proposed tool, we conducted a remote qualitative study with six analysts, using a dataset of 20 users browsing eleven real-world Web sites.
Gaze visualization, Heatmap, Scanpath, Web interaction
1-5
Association for Computing Machinery
Menges, Raphael
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Kramer, Sophia
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Hill, Stefan
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Nisslmüller, Marius
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Kumar, Chandan
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Staab, Steffen
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June 2020
Menges, Raphael
0badd223-5f41-4770-b475-1fa96df2f669
Kramer, Sophia
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Hill, Stefan
5182d419-1368-4309-9e3d-1fe7f87e69f9
Nisslmüller, Marius
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Kumar, Chandan
657246b6-361b-4fdd-a9ee-e13f59a4d936
Staab, Steffen
bf48d51b-bd11-4d58-8e1c-4e6e03b30c49
Menges, Raphael, Kramer, Sophia, Hill, Stefan, Nisslmüller, Marius, Kumar, Chandan and Staab, Steffen
(2020)
A visualization tool for eye tracking data analysis in the web.
Bulling, Andreas, Huckauf, Anke, Jain, Eakta, Radach, Ralph and Weiskopf, Daniel
(eds.)
In ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and Applications.
Association for Computing Machinery.
.
(doi:10.1145/3379156.3391831).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Usability analysis plays a significant role in optimizing Web interaction by understanding the behavior of end users. To support such analysis, we present a tool to visualize gaze and mouse data of Web site interactions. The proposed tool provides not only the traditional visualizations with fixations, scanpath, and heatmap, but allows for more detailed analysis with data clustering, demographic correlation, and advanced visualization like attention flow and 3D-scanpath. To demonstrate the usefulness of the proposed tool, we conducted a remote qualitative study with six analysts, using a dataset of 20 users browsing eleven real-world Web sites.
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Accepted/In Press date: 30 March 2020
Published date: June 2020
Additional Information:
Funding Information:
The authors acknowledge the financial support by the Federal Ministry of Education and Research of Germany under the project number 01IS17095B. We would also like to acknowledge students that were part of the research lab in which the tool has been developed: Christian Brozmann, Chuyi Sun, Daniel Vossen, Nadja Jelicic, Niklas Ecker, Oleksandr Kovtunov, and Orkut Karacalik.
Publisher Copyright:
© 2020 ACM.
Venue - Dates:
5th Workshop on Eye Tracking and Visualization,, , Stuttgart, Germany, 2020-06-02 - 2020-06-05
Keywords:
Gaze visualization, Heatmap, Scanpath, Web interaction
Identifiers
Local EPrints ID: 442249
URI: http://eprints.soton.ac.uk/id/eprint/442249
PURE UUID: 858935d7-2ee1-4ccb-9948-ebf5193f125a
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Date deposited: 10 Jul 2020 16:30
Last modified: 17 Mar 2024 03:38
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Contributors
Author:
Raphael Menges
Author:
Sophia Kramer
Author:
Stefan Hill
Author:
Marius Nisslmüller
Author:
Chandan Kumar
Author:
Steffen Staab
Editor:
Andreas Bulling
Editor:
Anke Huckauf
Editor:
Eakta Jain
Editor:
Ralph Radach
Editor:
Daniel Weiskopf
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