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Usability measures in mobile-based augmented reality learning applications: A systematic review

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dc.citedby12
dc.contributor.authorLim K.C.en_US
dc.contributor.authorSelamat A.en_US
dc.contributor.authorAlias R.A.en_US
dc.contributor.authorKrejcar O.en_US
dc.contributor.authorFujita H.en_US
dc.contributor.authorid57188850203en_US
dc.contributor.authorid24468984100en_US
dc.contributor.authorid25928253600en_US
dc.contributor.authorid14719632500en_US
dc.contributor.authorid35611951900en_US
dc.date.accessioned2023-05-29T07:24:51Z
dc.date.available2023-05-29T07:24:51Z
dc.date.issued2019
dc.description.abstractThe 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. � 2019 by the authors. Licensee MDPI, Basel, Switzerland.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo2718
dc.identifier.doi10.3390/APP9132718
dc.identifier.issue13
dc.identifier.scopus2-s2.0-85073533785
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85073533785&doi=10.3390%2fAPP9132718&partnerID=40&md5=24cbefb0d6af386d14dacc9cf51b1d47
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24592
dc.identifier.volume9
dc.publisherMDPIen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleApplied Sciences (Switzerland)
dc.titleUsability measures in mobile-based augmented reality learning applications: A systematic reviewen_US
dc.typeReviewen_US
dspace.entity.typePublication
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