TinyTeller AI, an AI-based Adaptive Storytelling Application
Reading in early childhood is crucial as it has been shown there is a positive link between reading for pleasure in childhood with better cognition, mental health, and educational attainment in adolescence [1]. However, conventional reading and storytelling have limitations in engaging diverse audiences. Conventional storytelling with fixed narrative structures often fails to capture the attention of young children as it lacks adaptability and personalization. In this paper, we introduce an innovative approach for adaptive storytelling application developed with young children in mind to remedy the limitations. We implemented TinyTeller AI, an AI-based adaptive storytelling software application which generates personalized stories for young children. We utilize GPT to acquire adaptive stories based on user profiles and preferences and format the stories for high comprehensibility.
Authors
- Mira Kim (ORCID: https://orcid.org/0000-0002-3807-692X)
- E. Gómez (ORCID: https://orcid.org/0000-0001-9037-9058)
- Alexander Nguyen (ORCID: https://orcid.org/0000-0002-4567-563X)
- Jennifer Jin
- T. Kim
Institutions
- California State University, Fullerton (US)
- California State University, San Bernardino (US)
Publication Details
- Published
- 2024-09-30
- DOI
- https://doi.org/10.1109/aixheart62327.2024.00017
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Games
- Type
- article
- Field-Weighted Citation Impact
- 0.35