Development of a Mobile Digital Skills Application for Older Adults with Age-Based Access Control

Résumé

The rapid advancement of mobile technologies has made digital skills increasingly important for participation in everyday activities. However, many mobile applications do not adequately address the accessibility and usability needs of older adults, thereby contributing to digital exclusion. This study presents the design and implementation of a mobile digital skills application tailored for older adults aged 60 years and above. The application provides structured learning modules covering essential digital skills, including smartphone use, communication, online safety, and selected health-related advisory content. The study adopted a design-and-implementation-based research approach, integrating mobile application development, age-based access control, accessibility features, and system evaluation. An age-based access control mechanism using camera-based passport verification and TensorFlow Lite was incorporated to restrict access to the intended older-adult user group. The application also integrates Text-to-Speech (TTS), simplified navigation, large text, and clear visual layouts to enhance accessibility. System evaluation focused on usability, accessibility, responsiveness, user experience, and the performance of the age-based access-control mechanism. The study contributes a practical mobile learning framework that integrates digital skills education, accessibility features, and age-based access control for older adults. The proposed system provides a foundation for developing inclusive and privacy-conscious mobile learning applications for aging populations.

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