Usability measures in mobile-based augmented reality learning applications: a systematic review
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....
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| Format: | Article |
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MDPI AG
2019
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| _version_ | 1796864848728948736 |
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| author | Lim, Kok Cheng Selamat, Ali Alias, Rose Alinda Krejcar, Ondrej Fujita, Hamido |
| author_facet | Lim, Kok Cheng Selamat, Ali Alias, Rose Alinda Krejcar, Ondrej Fujita, Hamido |
| author_sort | Lim, Kok Cheng |
| collection | ePrints |
| 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. |
| first_indexed | 2024-03-05T20:48:03Z |
| format | Article |
| id | utm.eprints-89531 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:48:03Z |
| publishDate | 2019 |
| publisher | MDPI AG |
| record_format | dspace |
| spelling | utm.eprints-895312021-02-22T06:08:08Z http://eprints.utm.my/89531/ Usability measures in mobile-based augmented reality learning applications: a systematic review Lim, Kok Cheng Selamat, Ali Alias, Rose Alinda Krejcar, Ondrej Fujita, Hamido QA75 Electronic computers. Computer science 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. MDPI AG 2019-07 Article PeerReviewed Lim, Kok Cheng and Selamat, Ali and Alias, Rose Alinda and Krejcar, Ondrej and Fujita, Hamido (2019) Usability measures in mobile-based augmented reality learning applications: a systematic review. Applied Sciences, 9 (13). pp. 1-32. ISSN 2076-3417 http://dx.doi.org/10.3390/app9132718 DOI:10.3390/app9132718 |
| spellingShingle | QA75 Electronic computers. Computer science Lim, Kok Cheng Selamat, Ali Alias, Rose Alinda Krejcar, Ondrej Fujita, Hamido Usability measures in mobile-based augmented reality learning applications: a systematic review |
| title | Usability measures in mobile-based augmented reality learning applications: a systematic review |
| title_full | Usability measures in mobile-based augmented reality learning applications: a systematic review |
| title_fullStr | Usability measures in mobile-based augmented reality learning applications: a systematic review |
| title_full_unstemmed | Usability measures in mobile-based augmented reality learning applications: a systematic review |
| title_short | Usability measures in mobile-based augmented reality learning applications: a systematic review |
| title_sort | usability measures in mobile based augmented reality learning applications a systematic review |
| topic | QA75 Electronic computers. Computer science |
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