Storytelling Utilizing Generative AI to Foster Inclusion of Individuals with Disabilities

Abstract

This article presents the comprehensive design and evaluation of a digital storytelling system tailored for Latin American children aged 4 to 6, leveraging generative artificial intelligence. Tests were conducted to assess the system’s functionality, content diversity, generation times, and voice quality, including intonation, speed, and pronunciation. The results substantiate the system’s operational efficacy and user-friendly interface. The stories generated demonstrate substantial diversity, as indicated by Jaccard indices calculations, which reveal a maximum value of 0.2 derived from evaluating 30 distinct stories. As expected, there was a proportional increase in story generation times relative to their length. ’Onyx’ from OpenAI’s text-to-speech (TTS) was identified as the most appropriate voice for storytelling. Nonetheless, pronunciation inaccuracies were observed across all tested TTS model voices. The analysis demonstrated that the system generates a variety of stories that foster value formation in Spanish-speaking children, thereby promoting the importance of including individuals with disabilities. Notably, all content within the stories was found to be suitable for children, with no inappropriate material detected in any of the narratives.