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

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
Subjects:
Q Science (General)
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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