Eye Tracking, Usability, and User Experience: A Systematic Review
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Eye Tracking, Usability, and User Experience: A Systematic Review
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Eye Tracking, Usability, and User Experience: A Systematic Review
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
ISSN
1044-7318
e-ISSN
1044-7318
Svazek periodika
neuvedeno
Číslo periodika v rámci svazku
neuvedeno
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
17
Strana od-do
—
Kód UT WoS článku
001010717900001
EID výsledku v databázi Scopus
2-s2.0-85162210225