A Novel User Interface Design for Enhancing Accessibility in Mobile Applications

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Md. Saad Amin
Primitiva Morales-Romero
Miguel Chamorro-Atalaya


Mobile applications have revolutionized the way we interact with digital content, offering a myriad of services to users across the globe. However, in this ever-evolving landscape of technology, it is imperative to ensure that mobile applications are not just innovative but inclusive as well. Accessibility, particularly in the context of mobile applications, remains a fundamental concern. This research endeavors to bridge the accessibility gap by proposing a novel approach that leverages machine learning, specifically Convolutional Neural Networks (CNNs), to assess and enhance the inclusivity of mobile application interfaces. In the realm of accessibility, conventional manual assessment methods prove time-consuming and subjective, hindering the timely evaluation of the ever-changing design trends in mobile applications. Our research aims to automate accessibility assessments, providing real-time feedback to developers and designers. This approach not only reduces the reliance on labor-intensive manual assessments but also ensures the inclusivity and user-friendliness of mobile applications, thereby improving the user experience for individuals with diverse needs and abilities. Key contributions of this research include an automated accessibility assessment model, real-time assessment capabilities, enhancement recommendations, and the application of CNNs to identify accessibility-related features. Through this work, we aspire to promote inclusivity, foster a more user-friendly digital environment, and bridge the gap between accessible design and practical application in the realm of mobile applications..

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How to Cite
Md. Saad Amin, Primitiva Morales-Romero, Miguel Chamorro-Atalaya, and M.Bhavsingh, “A Novel User Interface Design for Enhancing Accessibility in Mobile Applications”, Int. J. Comput. Eng. Res. Trends, vol. 10, no. 8, pp. 26–33, Aug. 2023.
Research Articles


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