Eye Tracking, Usability, and User Experience: A Systematic Review
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F23%3A96179" target="_blank" >RIV/60460709:41110/23:96179 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1080/10447318.2023.2221600" target="_blank" >https://doi.org/10.1080/10447318.2023.2221600</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/10447318.2023.2221600" target="_blank" >10.1080/10447318.2023.2221600</a>
Alternative languages
Result language
angličtina
Original language name
Eye Tracking, Usability, and User Experience: A Systematic Review
Original language description
Usability and user experience (UX) are emerging concerns around not only application development but everything designed to be used by people. Evaluation of the UX is, by nature, intensely subjective and time-consuming. The article focuses mainly on Eye Tracking, Usability, and User Experience from a general point of view, with an emphasis on automatic data processing. In recent years, new technological approaches have been emerging to quantify usability testing data and improve process automation. Eye tracking technology is a great way to analyze users' interaction with the product, allowing researchers to discover usability issues and even leverage the power of machine learning to recognize various kinds of emotions linked to users' interactions. Existing research concerned with these three main topics has been methodically explored. For this review, we extensively searched 1988 theme-related articles. One hundred and forty-four articles were selected based on meticulous screening, from which 90 were included in this systematic review. The outcomes reveal a significant shift toward a more technologically advanced evaluation of user experience and usability in various areas. The review proposes several opportunities for future research and missing areas connecting user experience, eye tracking, and machine learning into more products focused on problem pattern identification.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
ISSN
1044-7318
e-ISSN
1044-7318
Volume of the periodical
neuvedeno
Issue of the periodical within the volume
neuvedeno
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
17
Pages from-to
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UT code for WoS article
001010717900001
EID of the result in the Scopus database
2-s2.0-85162210225