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arXiv · 2409.11261

Kahaani: A Multimodal Co-Creative Storytelling System

Samee Arif·Muhammad Saad Haroon·Aamina Jamal Khan·Taimoor Arif·Agha Ali Raza·Awais Athar
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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.

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Samee Arif, Muhammad Saad Haroon, Aamina Jamal Khan, Taimoor Arif, Agha Ali Raza, Awais Athar. 2024-09-17. Kahaani: A Multimodal Co-Creative Storytelling System. https://arxiv.org/abs/2409.11261

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