Poster
in
Workshop: Workshop on Machine Learning for Creativity and Design

Co-writing screenplays and theatre scripts alongside language models using Dramatron

Piotr Mirowski · Kory Mathewson · Jaylen Pittman · Richard EVANS


Abstract:

Language models are increasingly attracting interest from writers, but lack long- range semantic coherence, limiting their usefulness for longform creative writing. We address this limitation by applying language models hierarchically in a system we call Dramatron. By building structural context via prompt chaining, Dramatron can generate coherent scripts and screenplays complete with title, characters, story beats, location descriptions, and dialogue. We illustrate Dramatron’s usefulness as an interactive co-creative system with a user study of 15 theatre and film industry professionals. Participants co-wrote theatre scripts and screenplays with Dramatron and engaged in open-ended interviews. We report reflections both from our inter- viewees and from independent reviewers who watched productions of the works. Finally, we discuss the suitability of Dramatron for human-machine co-creativity, ethical considerations—including plagiarism and bias—and participatory models for the design and deployment of such tools.

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