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AIsop: Exploring Immersive VR Storytelling Leveraging Generative AI

Gatti, Elia; Giunchi, Daniele; Numan, Nels; Steed, Anthony; (2024) AIsop: Exploring Immersive VR Storytelling Leveraging Generative AI. In: (Proceedings) 31st IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (IEEE VR 2024). IEEE: Orlando, FL, USA. Green open access

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Abstract

We introduce AIsop, a system that autonomously generates VR storytelling experiences using generative artificial intelligence (AI). AIsop crafts unique stories by leveraging state-of-the-art Large Language Models (LLMs) and employs Text-To-Speech (TTS) technology for narration. Further enriching the experience, a visual representation of the narrative is produced through a pipeline that pairs LLM-generated prompts with diffusion models, rendering visuals for clusters of sentences in the story. Our evaluation encompasses two distinct use cases: the narration of pre-existing content and the generation of entirely new narratives. AIsop highlights the myriad research prospects spanning its technical architecture and user engagement.

Type: Proceedings paper
Title: AIsop: Exploring Immersive VR Storytelling Leveraging Generative AI
Event: 31st IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (IEEE VR 2024)
Open access status: An open access version is available from UCL Discovery
Publisher version: https://ieeevr.org/2024/program/posters/
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10190409
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