Gatti, Elia;
Giunchi, Daniele;
Numan, Nels;
Steed, Anthony;
(2025)
Around The Virtual Campfire: Early UX Insights Into AI-generated Stories In VR.
In:
Proceedings of the 7th IEEE International Conference on Artificial Intelligence & eXtended and Virtual Reality.
(pp. pp. 1-6).
Institute of Electrical and Electronics Engineers (IEEE)
(In press).
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Abstract
Virtual Reality (VR) presents an immersive platform for storytelling, allowing narratives to unfold in highly engaging, interactive environments. Leveraging AI capabilities and image synthesis offers new possibilities for creating scalable, generative VR content. In this work, we use an LLM-driven VR storytelling platform to explore how AI-generated visuals and narrative elements impact the user experience in VR storytelling. Previously, we presented AIsop, a system to integrate LLMgenerated text and images and TTS audio into a storytelling experience, where the narrative unfolds based on user input. In this paper, we present two user studies focusing on how AIgenerated visuals influence narrative perception and the overall VR experience. Our findings highlight the positive impact of AI-generated pictorial content on the storytelling experience, highlighting areas for enhancement and further research in interactive narrative design.
Type: | Proceedings paper |
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Title: | Around The Virtual Campfire: Early UX Insights Into AI-generated Stories In VR |
Event: | The 7th IEEE International Conference on Artificial Intelligence & eXtended and Virtual Reality |
Location: | Lisbon, Portugal |
Dates: | 27th-29th January 2025 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://aixvr.tecnico.ulisboa.pt/ |
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. |
Keywords: | large language model, VR, storytelling, generative AI |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10204631 |



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