Analysis of AI Mobile Applications for Ensuring Digital Accessibility in Higher Education for People with Disabilities

Abstract Introduction: Over 1 billion people worldwide have disabilities, necessitating their inclusion in health systems and workplaces. Artificial intelligence (AI) is revolutionizing accessibility and digital inclusion for these individuals, improving everyday tasks and enabling autonomous mobility. AI can be applied to visually impaired, reduced mobility, and cognitive disabilities, supporting their inclusion in learning and work environments, and promoting social and digital inclusion. Methods: The study investigates mobile applications for disabled individuals in higher education, utilizing readability analysis of texts generated using Otter.ai, using qualitative methods to assess the accessibility of AI-generated samples. Results: Results show that the auto-generated text’s readability is about or below average level. Discussion: The text, tailored for computer science students, emphasizes human-computer interaction and user interface (UI) usability, utilizing specialized terms and real-time recording for hearing impairments. Limitations: The data of this study were collected only from Otter.ai based on the narration of part of a computer science-related lecture. No other AI tools are used for automatic text generation. Conclusions: Based on the analysis, we made changes to the AI-generated content, cutting down lengthy paragraphs, simplifying complicated words, and utilizing straightforward language without compromising the intended message.