Quality assessment methodology for sign language mobile apps using fusion of enhanced weighted mobile app rating scale (MARS) and content expert standardized criteria

<p>In the academic realm, sign language mobile apps are an exciting research area that</p><p>deserves a lot of attention. These apps are largely utilised because of their low cost</p><p>and convenience. However, for these apps to...

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Main Author: Dianes David Emmanuel
Format: thesis
Language:eng
Published: 2023
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Online Access:https://ir.upsi.edu.my/detailsg.php?det=10238
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institution Universiti Pendidikan Sultan Idris
collection UPSI Digital Repository
language eng
topic Q Science (General)
spellingShingle Q Science (General)
Dianes David Emmanuel
Quality assessment methodology for sign language mobile apps using fusion of enhanced weighted mobile app rating scale (MARS) and content expert standardized criteria
description <p>In the academic realm, sign language mobile apps are an exciting research area that</p><p>deserves a lot of attention. These apps are largely utilised because of their low cost</p><p>and convenience. However, for these apps to have a real impact, their quality should</p><p>be assessed. Such an assessment will motivate app development efforts and thus</p><p>present a successful development methodology for new apps. A systematic literature</p><p>review (SLR) search was conducted on three academic databases, namely, Science</p><p>Direct, IEEE, and WOS and identified (n=33) research related works. From the SLR,</p><p>it reveals the lack of assessment of sign language mobile apps and none of these apps</p><p>had undergone a quality assessment in term of standardized approach. The objective</p><p>of this research is to propose a new assessment methodology to assess the quality of</p><p>the Malaysian Sign Language (MSL) mobile apps. This study adopted the content</p><p>expert standardized criteria which involves 17 experts using the Fuzzy Delphi method</p><p>and modified Mobile App Rating Scale (MARS) using the Fuzzy-Weighted Zero</p><p>Inconsistency (FWZIC) approach which involves 5 experts. The findings show that</p><p>the new assessment methodology be able to outline a sturdy list of criteria for sign</p><p>language mobile app development. This study is providing future researchers a</p><p>comprehensive understanding of mobile app development criteria and its weight. The</p><p>findings will benefit and opens up a new area where researchers and developers could</p><p>work together on sign language mobile apps.</p>
format thesis
qualification_name
qualification_level Master's degree
author Dianes David Emmanuel
author_facet Dianes David Emmanuel
author_sort Dianes David Emmanuel
title Quality assessment methodology for sign language mobile apps using fusion of enhanced weighted mobile app rating scale (MARS) and content expert standardized criteria
title_short Quality assessment methodology for sign language mobile apps using fusion of enhanced weighted mobile app rating scale (MARS) and content expert standardized criteria
title_full Quality assessment methodology for sign language mobile apps using fusion of enhanced weighted mobile app rating scale (MARS) and content expert standardized criteria
title_fullStr Quality assessment methodology for sign language mobile apps using fusion of enhanced weighted mobile app rating scale (MARS) and content expert standardized criteria
title_full_unstemmed Quality assessment methodology for sign language mobile apps using fusion of enhanced weighted mobile app rating scale (MARS) and content expert standardized criteria
title_sort quality assessment methodology for sign language mobile apps using fusion of enhanced weighted mobile app rating scale (mars) and content expert standardized criteria
granting_institution Universiti Pendidikan Sultan Idris
granting_department Fakulti Seni, Komputeran dan Industri Kreatif
publishDate 2023
url https://ir.upsi.edu.my/detailsg.php?det=10238
_version_ 1804890536594636800
spelling oai:ir.upsi.edu.my:102382024-05-23 Quality assessment methodology for sign language mobile apps using fusion of enhanced weighted mobile app rating scale (MARS) and content expert standardized criteria 2023 Dianes David Emmanuel Q Science (General) <p>In the academic realm, sign language mobile apps are an exciting research area that</p><p>deserves a lot of attention. These apps are largely utilised because of their low cost</p><p>and convenience. However, for these apps to have a real impact, their quality should</p><p>be assessed. Such an assessment will motivate app development efforts and thus</p><p>present a successful development methodology for new apps. A systematic literature</p><p>review (SLR) search was conducted on three academic databases, namely, Science</p><p>Direct, IEEE, and WOS and identified (n=33) research related works. From the SLR,</p><p>it reveals the lack of assessment of sign language mobile apps and none of these apps</p><p>had undergone a quality assessment in term of standardized approach. The objective</p><p>of this research is to propose a new assessment methodology to assess the quality of</p><p>the Malaysian Sign Language (MSL) mobile apps. This study adopted the content</p><p>expert standardized criteria which involves 17 experts using the Fuzzy Delphi method</p><p>and modified Mobile App Rating Scale (MARS) using the Fuzzy-Weighted Zero</p><p>Inconsistency (FWZIC) approach which involves 5 experts. The findings show that</p><p>the new assessment methodology be able to outline a sturdy list of criteria for sign</p><p>language mobile app development. This study is providing future researchers a</p><p>comprehensive understanding of mobile app development criteria and its weight. The</p><p>findings will benefit and opens up a new area where researchers and developers could</p><p>work together on sign language mobile apps.</p> 2023 thesis https://ir.upsi.edu.my/detailsg.php?det=10238 https://ir.upsi.edu.my/detailsg.php?det=10238 text eng closedAccess Masters Universiti Pendidikan Sultan Idris Fakulti Seni, Komputeran dan Industri Kreatif <p>A. H. Alamoodi, S. G., B. B. Zaidan, A. A. Z., Moceheb Lazam Shuwandy, , & Mussab Alaa, M. A. A., Ali Mohammed, A. M. Aleesa , O. S. Albahri , Ward Ahmed Al-Hussein , O. R. Alobaidi. (2020). A systematic review into the assessment of medical apps: motivations, challenges, recommendations and methodological aspect. Springer Nature 2020. doi:https://doi.org/10.1007/s12553-020-00451-4</p><p></p><p></p><p>Abbas, A. A. Y. a. A. (2021). 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