{"ID":2850162,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.22857","arxiv_id":"2510.22857","title":"Storycaster: An AI System for Immersive Room-Based Storytelling","abstract":"While Cave Automatic Virtual Environment (CAVE) systems have long enabled room-scale virtual reality and various kinds of interactivity, their content has largely remained predetermined. We present \\textit{Storycaster}, a generative AI CAVE system that transforms physical rooms into responsive storytelling environments. Unlike headset-based VR, \\textit{Storycaster} preserves spatial awareness, using live camera feeds to augment the walls with cylindrical projections, allowing users to create worlds that blend with their physical surroundings. Additionally, our system enables object-level editing, where physical items in the room can be transformed to their virtual counterparts in a story. A narrator agent guides participants, enabling them to co-create stories that evolve in response to voice commands, with each scene enhanced by generated ambient audio, dialogue, and imagery. Participants in our study ($n=13$) found the system highly immersive and engaging, with narrator and audio most impactful, while also highlighting areas for improvement in latency and image resolution.","short_abstract":"While Cave Automatic Virtual Environment (CAVE) systems have long enabled room-scale virtual reality and various kinds of interactivity, their content has largely remained predetermined. We present \\textit{Storycaster}, a generative AI CAVE system that transforms physical rooms into responsive storytelling environments...","url_abs":"https://arxiv.org/abs/2510.22857","url_pdf":"https://arxiv.org/pdf/2510.22857v2","authors":"[\"Naisha Agarwal\",\"Judith Amores\",\"Andrew D. Wilson\"]","published":"2025-10-26T22:24:02Z","proceeding":"cs.HC","tasks":"[\"cs.HC\"]","methods":"[]","has_code":false}