DuoDrama: Supporting Screenplay Refinement Through LLM-Assisted Human Reflection

要旨

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 DuoDrama improves feedback quality and alignment and enhances the effectiveness, depth, and richness of reflection. We conclude by discussing broader implications and future directions.

著者
Yuying Tang
The Hong Kong University of Science and Technology , Hong Kong SAR, China
Xinyi Chen
Zhejiang University, Hangzhou, China
Haotian Li
Microsoft Research Asia, Beijing, China
Xing Xie
Microsoft Research Asia, Beijing, China
Xiaojuan Ma
Hong Kong University of Science and Technology, Hong Kong, Hong Kong
Huamin Qu
The Hong Kong University of Science and Technology, Hong Kong, China

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Multi-Agent Reasoning Systems for Sensemaking and Planning

P1 - Room 134
7 件の発表
2026-04-17 18:00:00
2026-04-17 19:30:00