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

Source: arXiv - 2601.18785v1

Overview

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 Contributions

This paper presents research in the following areas:

• cs.HC
• cs.AI
• cs.CL

Methodology

Please refer to the full paper for detailed methodology.

Practical Implications

This research contributes to the advancement of cs.HC.

Authors

• Tiffany Wang
• Yuqian Sun
• Yi Wang
• Melissa Roemmele
• John Joon Young Chung
• Max Kreminski

Paper Information

• arXiv ID: 2601.18785v1
• Categories: cs.HC, cs.AI, cs.CL
• Published: January 26, 2026
• PDF: Download PDF