DuoDrama: Supporting Screenplay Refinement Through LLM-Assisted Human Reflection
Yuying Tang, Xinyi Chen, Haotian Li, Xing Xie, Xiaojuan Ma, Huamin Qu
Abstract
AI has been increasingly integrated into screenwriting practice. In refinement, screenwriters expect AI to provide feedback that supports reflection across the internal perspective of characters and the external perspective of the overall story. However, existing AI tools cannot sufficiently coordinate the two perspectives to meet screenwriters' needs. To address this gap, we present DuoDrama, an AI system that generates feedback to assist screenwriters' reflection in refinement. To enable DuoDrama, based on performance theories and a formative study with nine professional screenwriters, we design the Experience-Grounded Feedback Generation Workflow for Human Reflection (ExReflect). In ExReflect, an AI agent adopts an experience role to generate experience and then shifts to an evaluation role to generate feedback based on the experience. A study with fourteen professional screenwriters shows that Duo-Drama improves feedback quality and alignment and enhances the effectiveness, depth, and richness of reflection. We conclude by discussing broader implications and future directions.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 619d9289-b703-4a0a-b97b-45b60f62d061Builds on16
- Co-Writing Screenplays and Theatre Scripts with Language Models: Evaluation by Industry ProfessionalsPiotr Mirowski, Kory W. Mathewson, Jaylen Pittman, Richard EvansCHI 2023 · 235 citations
- Revisiting Reflection in HCI: Four Design Resources for Technologies that Support ReflectionMarit Bentvelzen, Pawel W. Wozniak, Pia S. F. Herbes, Evropi Stefanidi et al.UbiComp 2022 · 135 citations
- CharacterMeet: Supporting Creative Writers' Entire Story Character Construction Processes Through Conversation with LLM-Powered Chatbot AvatarsHua Xuan Qin, Shan Jin, Ze Gao, Mingming Fan et al.CHI 2024 · 79 citations
- Proactive Conversational Agents with Inner ThoughtsXingyu Bruce Liu, Shitao Fang, Weiyan Shi, Chien-Sheng Wu et al.CHI 2025 · 76 citations
- Writer-Defined AI Personas for On-Demand Feedback GenerationKarim Benharrak, Tim Zindulka, Florian Lehmann, Hendrik Heuer et al.CHI 2024 · 62 citations
Related papers
- How Do Human Creators Embrace Human-AI Co-Creation? A Perspective on Human Agency of ScreenwritersYuying Tang, Jiayi Zhou, Haotian Li, Xing Xie et al.CHI 2026 · 6 citations
- Towards Enhanced Immersion and Agency for LLM-based Interactive DramaHongqiu Wu, Weiqi Wu, Tianyang Xu, Jiameng Zhang et al.ACL 2025 · 7 citations
- Understanding Screenwriters' Practices, Attitudes, and Future Expectations in Human-AI Co-CreationYuying Tang, Haotian Li, Minghe Lan, Xiaojuan Ma et al.CHI 2025 · 16 citations
- Actor's Note: Examining the Role of AI-Generated Questions in Character Journaling for Actor TrainingSora Kang, Jaemin Zoh, Hyoju Kim, Hyeonseo Park et al.CHI 2026 · 1 citation
- When Teams Embrace AI: Human Collaboration Strategies in Generative Prompting in a Creative Design TaskYuanning Han, Ziyi Qiu, Jiale Cheng, Ray LCCHI 2024 · 103 citations
