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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| Format: | thesis |
| Language: | eng |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://ir.upsi.edu.my/detailsg.php?det=10238 |
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| Summary: | <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> |
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