基本信息
- 来源: arxiv
- 原始来源: https://arxiv.org/abs/2601.18785v1
- 作者: Tiffany Wang, Yuqian Sun, Yi Wang, Melissa Roemmele, John Joon Young Chung, Max Kreminski
- 分类: cs.HC
- 论文时间: 2026-01-26T18:51:20Z
- 论文 PDF: https://arxiv.org/pdf/2601.18785v1.pdf
来源摘要/节选
The rise of Large Language Models (LLMs) has enabled a new paradigm for bridging authorial intent and player agency in interactive narrative. We consider this paradigm through the example of Dramamancer, a system that uses an LLM to transform author-created story schemas into player-driven playthroughs. This extended abstract outlines some design techniques and evaluation considerations associated with this system.
来源说明
当前只保存了官方论文摘要，不代表论文全文。请以原始来源为准。
本页只呈现已做哈希绑定的来源证据，不包含基于旧正文或缺失原文的扩展推断。