Usability Measures in Mobile-Based Augmented Reality Learning Applications: A Systematic Review
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F19%3A50015726" target="_blank" >RIV/62690094:18450/19:50015726 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2076-3417/9/13/2718" target="_blank" >https://www.mdpi.com/2076-3417/9/13/2718</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/app9132718" target="_blank" >10.3390/app9132718</a>
Alternative languages
Result language
angličtina
Original language name
Usability Measures in Mobile-Based Augmented Reality Learning Applications: A Systematic Review
Original language description
The implementation of usability in mobile augmented reality (MAR) learning applications has been utilized in a myriad of standards, methodologies, and techniques. The usage and combination of techniques within research approaches are important in determining the quality of usability data collection. The purpose of this study is to identify, study, and analyze existing usability metrics, methods, techniques, and areas in MAR learning. This study adapts systematic literature review techniques by utilizing research questions and Boolean search strings to identify prospective studies from six established databases that are related to the research context area. Seventy-two articles, consisting of 45 journals, 25 conference proceedings, and two book chapters, were selected through a systematic process. All articles underwent a rigorous selection protocol to ensure content quality according to formulated research questions. Post-synthesis and analysis, the output of this article discusses significant factors in usability-based MAR learning applications. This paper presents five identified gaps in the domain of study, modes of contributions, issues within usability metrics, technique approaches, and hybrid technique combinations. This paper concludes five recommendations based on identified gaps concealing potential of usability-based MAR learning research domains, varieties of unexplored research types, validation of emerging usability metrics, potential of performance metrics, and untapped correlational areas to be discovered.
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
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
APPLIED SCIENCES-BASEL
ISSN
2076-3417
e-ISSN
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Volume of the periodical
9
Issue of the periodical within the volume
13
Country of publishing house
CH - SWITZERLAND
Number of pages
38
Pages from-to
"Article Number: 2718"
UT code for WoS article
000477031900137
EID of the result in the Scopus database
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