Enhanced representation of web pages for usability analysis with eye tracking
Enhanced representation of web pages for usability analysis with eye tracking
Eye tracking as a tool to quantify user attention plays a major role
in research and application design. For Web page usability, it has
become a prominent measure to assess which sections of a Web page
are read, glanced or skipped. Such assessments primarily depend on
the mapping of gaze data to a Web page representation. However,
current representation methods, a virtual screenshot of the Web
page or a video recording of the complete interaction session, suffer
either from accuracy or scalability issues. We present a method
that identifies fixed elements on Web pages and combines user
viewport screenshots in relation to fixed elements for an enhanced
representation of the page. We conducted an experiment with 10
participants and the results signify that analysis with our method is
more efficient than a video recording, which is an essential criterion
for large scale Web studies.
Menges, Raphael
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Tamimi, Hanadi
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Kumar, Chandan
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Walber, Tina
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Schäfer, Christoph
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Staab, Steffen
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Menges, Raphael
bc8eb159-2aa4-420d-8644-8f92be265a71
Tamimi, Hanadi
54cb74a6-01ef-42e1-beea-316f573f407e
Kumar, Chandan
4b0e33e5-7a97-4c01-88b8-d1c4c588b60a
Walber, Tina
a84620d2-6e5c-455c-8272-44b92e2bb372
Schäfer, Christoph
9ab3ccb4-5551-4b44-9f75-b81e4aaf589a
Staab, Steffen
bf48d51b-bd11-4d58-8e1c-4e6e03b30c49
Menges, Raphael, Tamimi, Hanadi, Kumar, Chandan, Walber, Tina, Schäfer, Christoph and Staab, Steffen
(2018)
Enhanced representation of web pages for usability analysis with eye tracking.
ETRA 2018: 2018 ACM Symposium on Eye Tracking Research & Applications, , Warsaw, Poland.
14 - 17 Jun 2018.
9 pp
.
(In Press)
Record type:
Conference or Workshop Item
(Paper)
Abstract
Eye tracking as a tool to quantify user attention plays a major role
in research and application design. For Web page usability, it has
become a prominent measure to assess which sections of a Web page
are read, glanced or skipped. Such assessments primarily depend on
the mapping of gaze data to a Web page representation. However,
current representation methods, a virtual screenshot of the Web
page or a video recording of the complete interaction session, suffer
either from accuracy or scalability issues. We present a method
that identifies fixed elements on Web pages and combines user
viewport screenshots in relation to fixed elements for an enhanced
representation of the page. We conducted an experiment with 10
participants and the results signify that analysis with our method is
more efficient than a video recording, which is an essential criterion
for large scale Web studies.
Text
[accepted] (ETRA'18) Menges, Tamimi, Kumar, Walber, Schaefer, Staab_ Enhanced Representation of Web Pages for Usability Analysis with Eye Tracking
- Accepted Manuscript
More information
Accepted/In Press date: 12 April 2018
Venue - Dates:
ETRA 2018: 2018 ACM Symposium on Eye Tracking Research & Applications, , Warsaw, Poland, 2018-06-14 - 2018-06-17
Identifiers
Local EPrints ID: 419737
URI: http://eprints.soton.ac.uk/id/eprint/419737
PURE UUID: 0e494b10-b83e-4032-b446-8bbea2bfffc7
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Date deposited: 20 Apr 2018 16:30
Last modified: 16 Mar 2024 04:22
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Contributors
Author:
Raphael Menges
Author:
Hanadi Tamimi
Author:
Chandan Kumar
Author:
Tina Walber
Author:
Christoph Schäfer
Author:
Steffen Staab
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