Kahaani: A Multimodal Co-Creative Storytelling System
Abstract
This paper introduces Kahaani, a multimodal, co-creative storytelling system that leverages Generative Artificial Intelligence, designed for children to address the challenge of sustaining engagement to foster educational narrative experiences. Here we define co-creative as a collaborative creative process in which both the child and Kahaani contribute to the generation of the story. The system combines Large Language Model (LLM), Text-to-Speech (TTS), Text-to-Music (TTM), and Text-to-Video (TTV) generation to produce a rich, immersive, and accessible storytelling experience. The system grounds the co-creation process in two classical storytelling framework, Freytag's Pyramid and Propp's Narrative Functions. The main goals of Kahaani are: (1) to help children improve their English skills, (2) to teach important life lessons through story morals, and (3) to help them understand how stories are structured, all in a fun and engaging way. We present evaluations for each AI component used, along with a user study involving three parent-child pairs to assess the overall experience and educational value of the system.
Keywords
Cite
@article{arxiv.2409.11261,
title = {Kahaani: A Multimodal Co-Creative Storytelling System},
author = {Samee Arif and Muhammad Saad Haroon and Aamina Jamal Khan and Taimoor Arif and Agha Ali Raza and Awais Athar},
journal= {arXiv preprint arXiv:2409.11261},
year = {2026}
}