FairyLandAI: Personalized Fairy Tales utilizing ChatGPT and DALLE-3
Project Overview
The document explores the innovative use of FairyLandAI, a generative AI tool that creates personalized fairy tales for children by leveraging OpenAI's API. This tool emphasizes crafting child-centric narratives that cater to individual preferences and cultural backgrounds, integrating both text and image generation to enrich the storytelling experience. Empirical evaluations indicate that FairyLandAI is effective in engaging young audiences while also imparting valuable moral lessons. The findings underscore the potential of generative AI in education, particularly in enhancing creativity and learning through personalized content. However, the research also points out the challenges associated with ensuring that personalization does not hinder children's identity development. Overall, the document highlights the promising applications of generative AI in educational contexts, demonstrating its ability to educate and entertain while prompting critical discussions about its implications.
Key Applications
FairyLandAI - Personalized fairy tales using LLM and DALL-E 3
Context: Educational tool for children, parents, and educators
Implementation: Developed using OpenAI's API to create personalized narratives and visual prompts
Outcomes: Increased engagement, culturally sensitive stories, and moral lessons
Challenges: Maintaining consistency between narrative and generated images
Implementation Barriers
Technical barriers
Challenges in generating images that align with narrative context, leading to inconsistencies
Proposed Solutions: Ongoing refinement of prompt engineering and user feedback mechanisms
Developmental barriers
Impact of AI-generated personalized narratives on children's sense of self and identity
Proposed Solutions: Investigation into how narratives influence identity development and ensuring positive outcomes
Project Team
Georgios Makridis
Researcher
Athanasios Oikonomou
Researcher
Vasileios Koukos
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Georgios Makridis, Athanasios Oikonomou, Vasileios Koukos
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai