A Quality Assessment Methodology for Sign Language Mobile Apps Using Fusion Of Enhanced Weighted Mobile App Rating Scale (MARS) and Content Expert Standardized Criteria
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Abstract
Mobile sign language apps have drawn a lot of interest recently as a way to minimize communication barriers between hearing people and people with hearing impairments. However, there are issues with the criteria and standards that should be taken into account when developing these apps. This study proposes a set of development criteria for sign language mobile apps and standardizes these criteria using the Fuzzy Delphi approach. Furthermore, the Fuzzy-Weighted Zero Inconsistency (FWZIC) approach is utilized to assign weights to the criteria and establish a ranking order. An initial set of requirements is developed based on the literature review. The Fuzzy Delphi technique is used, involving a panel of experts made up of developers, sign language experts, and users of sign language mobile apps, to assess the validity and reliability of the criteria. The FWZIC technique is used to give the criterion weights and determine their ranking order in order to further improve the decision-making process. The relative relevance of each criterion is determined by the FWZIC technique, which involves expert input and makes use of their knowledge and expertise. A thorough ranking is generated by taking into account the effects of each criterion on several zones, assisting in efficient decision-making during the creation of sign language mobile apps. Six Malaysian Sign Language apps that have been shortlisted are being utilized as a proof of concept to test the idea. The result of 6 apps is obtained based on the final standard criteria, their weights, and rankings.
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