Design Techniques for LLM-Powered Interactive Storytelling: A Case Study of the Dramamancer System

Tiffany Wang, Yuqian Sun, Yi Wang, Melissa Roemmele, John Joon Young Chung +1 more
1/26/2026
cs.HCcs.AIcs.CL

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Abstract

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.

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Cite this paper

@article{wang2026design,
  title  = {Design Techniques for LLM-Powered Interactive Storytelling: A Case Study of the Dramamancer System},
  author = {Tiffany Wang and Yuqian Sun and Yi Wang and Melissa Roemmele and John Joon Young Chung and Max Kreminski},
  year   = {2026},
  eprint = {2601.18785},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2601.18785v1}
}

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