Development of a Mobile-Based Vision Assistant Application for the Visually Impaired
Christian Albarico, Aileen Arpon, Nyvein Clark Pareja, Ivy Mae C. Precinta, Rino M. Rebotazo, Cedie E. Gabriel, Reginald S. Prudente · 2025
This paper introduces the design and evaluation of a mobile vision assistant application for visually-impaired users. Powered by speech-to-text, text-to-speech, object detection, and emergency communication capabilities, the system targets issues of cost and availability facing rural and less economically advanced regions. Based on the Model Human Processor, the app was evaluated using qualitative methods, including semi-structured interviews and usability tests with visually impaired users. Findings suggest high satisfaction with the functionalities of the system, reliability, and the easiness of use, particularly for the stressful emergency situation. The contribution of inclusive mobile technology to increasing autonomy and quality of life of the blind. The experience of the project shows this is a valid expectation: this pilot has shown, in fact, that inclusive mobile technology has the potential of increasing the autonomy and the quality of life of the blind in their everyday activities, improving the access to information and services.