@inproceedings{arif-etal-2026-kahaani,
title = "Kahaani: A Multimodal Co-Creative Storytelling System",
author = "Arif, Samee and
Haroon, Muhammad Saad and
Khan, Aamina Jamal and
Arif, Taimoor and
Raza, Agha Ali and
Athar, Awais",
editor = "Baez Santamaria, Selene and
Somayajula, Sai Ashish and
Yamaguchi, Atsuki",
booktitle = "Proceedings of the 19th Conference of the {E}uropean Chapter of the {A}ssociation for {C}omputational {L}inguistics (Volume 4: Student Research Workshop)",
month = mar,
year = "2026",
address = "Rabat, Morocco",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.eacl-srw.25/",
pages = "347--365",
ISBN = "979-8-89176-383-8",
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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%0 Conference Proceedings
%T Kahaani: A Multimodal Co-Creative Storytelling System
%A Arif, Samee
%A Haroon, Muhammad Saad
%A Khan, Aamina Jamal
%A Arif, Taimoor
%A Raza, Agha Ali
%A Athar, Awais
%Y Baez Santamaria, Selene
%Y Somayajula, Sai Ashish
%Y Yamaguchi, Atsuki
%S Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%@ 979-8-89176-383-8
%F arif-etal-2026-kahaani
%X 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.
%U https://aclanthology.org/2026.eacl-srw.25/
%P 347-365
Markdown (Informal)
[Kahaani: A Multimodal Co-Creative Storytelling System](https://aclanthology.org/2026.eacl-srw.25/) (Arif et al., EACL 2026)
ACL
- Samee Arif, Muhammad Saad Haroon, Aamina Jamal Khan, Taimoor Arif, Agha Ali Raza, and Awais Athar. 2026. Kahaani: A Multimodal Co-Creative Storytelling System. In Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 4: Student Research Workshop), pages 347–365, Rabat, Morocco. Association for Computational Linguistics.