GenLARP: Enabling Immersive Live Action Role-Play through LLM-Generated Worlds and Characters

Fuente: arXiv
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Main Authors: Yu, Yichen, Jiang, Yifan, Lui, Mandy, Jin, Qiao
Format: Preprint
Published: 2025
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author Yu, Yichen
Jiang, Yifan
Lui, Mandy
Jin, Qiao
author_facet Yu, Yichen
Jiang, Yifan
Lui, Mandy
Jin, Qiao
contents We introduce GenLARP, a virtual reality (VR) system that transforms personalized stories into immersive live action role-playing (LARP) experiences. GenLARP enables users to act as both creators and players, allowing them to design characters based on their descriptions and live in the story world. Generative AI and agents powered by Large Language Models (LLMs) enrich these experiences.
format Preprint
id arxiv_https___arxiv_org_abs_2510_14277
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle GenLARP: Enabling Immersive Live Action Role-Play through LLM-Generated Worlds and Characters
Yu, Yichen
Jiang, Yifan
Lui, Mandy
Jin, Qiao
Human-Computer Interaction
We introduce GenLARP, a virtual reality (VR) system that transforms personalized stories into immersive live action role-playing (LARP) experiences. GenLARP enables users to act as both creators and players, allowing them to design characters based on their descriptions and live in the story world. Generative AI and agents powered by Large Language Models (LLMs) enrich these experiences.
title GenLARP: Enabling Immersive Live Action Role-Play through LLM-Generated Worlds and Characters
topic Human-Computer Interaction
url https://arxiv.org/abs/2510.14277