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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • 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

  • 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