Design Techniques for LLM-Powered Interactive Storytelling: A Case Study of the Dramamancer System
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 7 references that are in the map. First posted on arXiv 26 Jan 2026.
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4 of 7 references.
References · 4
- 2024Agents' Room: Narrative Generation through Multi-step Collaborationcited by 57
- 2024Creating Suspenseful Stories: Iterative Planning with Large Language Modelscited by 22
- 2025WhatELSE: Shaping Narrative Spaces at Configurable Level of Abstraction for AI-bridged Interactive Storytellingcited by 8
- 2025Drama Llama: An LLM-Powered Storylets Framework for Authorable Responsiveness in Interactive Narrativecited by 7
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