2000 character limit reached
Design Techniques for LLM-Powered Interactive Storytelling: A Case Study of the Dramamancer System
Published 26 Jan 2026 in cs.HC, cs.AI, and cs.CL | (2601.18785v1)
Abstract: The rise of 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.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.