Reproduce “DuoDrama: Supporting Screenplay Refinement Through LLM-Assisted Human Reflection” on OpenResearch

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About this paper

Yuying Tang, Xinyi Chen, Haotian Li, Xing Xie, Xiaojuan Ma, Huamin Qu

DuoDrama is an LLM-based screenwriting assistant designed to prompt human reflection rather than automatically rewrite scripts. By first simulating a character’s inner experience and then evaluating the scene from the actor’s perspective, it generates context-grounded questions that improved feedback richness, specificity, and several measures of reflective depth compared with unguided evaluation and reviewer-style baselines.

Key insights

  • Linking experiential simulation to later evaluation provides a stronger basis for specific feedback than asking an evaluator to critique the screenplay without personal-experience context.
  • Role switching preserves character-level psychological detail while adding critical distance, which helped writers report deeper reflection and stronger motivation to revise than character-only feedback in selected comparisons.
  • Feedback timing remains a design tension: post-hoc comments were often preferred for broader analysis, while frequent instant interventions could disrupt reading and creative flow.

Summary by alphaXiv.

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