Akori: A tool based in eye-tracking techniques for analyzing web user behaviour on a web site
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2017Metadata
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Vera, Felipe
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Akori: A tool based in eye-tracking techniques for analyzing web user behaviour on a web site
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Abstract
As the use of the Internet grows every year, ecommerce’s
usage does as well. There is a tough competition
between companies to be able to attract customers to use their
services.The design of a website is crucial to retain a customer,
and a retained client is more valuable over time, so understanding
what attracts the attention of a potential client on a website is
really important.
This work proposes a novel web platform for understanding
the most important features of a website for the user,
based on biometric information provided by eye-trackers and
electroencephalogram. Akori platform offers three services for
understanding the most important part of a web page to the user.
The first is the visual attention map, which highlights in different
colors the most attractive zones for the user. The second service
is a visual attention map too, but it uses a grey-scale gradient
instead of colors. The third service, uses the salience map to
identify the Website Key Objects on a web page and highlight
the objects that are predicted as such.
Our platform is useful to the telecommunication and advertising
industries, as interviews with companies managers reveal. Thus,
Akori promises to be a fundamental part for planning website
design.
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Artículo de publicación SCOPUS
Identifier
URI: https://repositorio.uchile.cl/handle/2250/169133
DOI: 10.1109/ICDMW.2017.90
ISSN: 23759259
23759232
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IEEE International Conference on Data Mining Workshops, ICDMW, Volumen 2017-November
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