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

January 26, 2026 · Grace Period · 🏛 the 2025 Wordplay Workshop at EMNLP

⏳ Grace Period
This paper is less than 90 days old. We give authors time to release their code before passing judgment.
Authors Tiffany Wang, Yuqian Sun, Yi Wang, Melissa Roemmele, John Joon Young Chung, Max Kreminski arXiv ID 2601.18785 Category cs.HC: Human-Computer Interaction Cross-listed cs.AI, cs.CL Citations 0 Venue the 2025 Wordplay Workshop at EMNLP
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.
Community shame:
Not yet rated
📄 View on arXiv 🌐 View on ar5iv 📑 PDF 🎉 Report Code Found
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

📜 Similar Papers

In the same crypt — Human-Computer Interaction