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A visualization tool for eye tracking data analysis in the web

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
1-5
ACM
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
657246b6-361b-4fdd-a9ee-e13f59a4d936
Staab, Steffen
bf48d51b-bd11-4d58-8e1c-4e6e03b30c49
Bulling, Andreas
Huckauf, Anke
Jain, Eakta
Radach, Ralph
Weiskopf, Daniel
Menges, Raphael
0badd223-5f41-4770-b475-1fa96df2f669
Kramer, Sophia
d3fa5e53-a3aa-4838-aca7-c352fee12f5b
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
Bulling, Andreas
Huckauf, Anke
Jain, Eakta
Radach, Ralph
Weiskopf, Daniel

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. ACM. pp. 1-5 . (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

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Accepted/In Press date: 30 March 2020
Published date: June 2020
Venue - Dates: 5th Workshop on Eye Tracking and Visualization,, Germany, 2020-06-02 - 2020-06-05

Identifiers

Local EPrints ID: 442249
URI: http://eprints.soton.ac.uk/id/eprint/442249
PURE UUID: 858935d7-2ee1-4ccb-9948-ebf5193f125a
ORCID for Steffen Staab: ORCID iD orcid.org/0000-0002-0780-4154

Catalogue record

Date deposited: 10 Jul 2020 16:30
Last modified: 07 Oct 2020 02:07

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Contributors

Author: Raphael Menges
Author: Sophia Kramer
Author: Stefan Hill
Author: Marius Nisslmüller
Author: Chandan Kumar
Author: Steffen Staab ORCID iD
Editor: Andreas Bulling
Editor: Anke Huckauf
Editor: Eakta Jain
Editor: Ralph Radach
Editor: Daniel Weiskopf

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