A knowledge-based framework for the collaborative improvisation of scene introductions

  • Authors:

  • Brian O'Neill;Andreya Piplica;Daniel Fuller;Brian Magerko

  • Affiliations:

  • School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA;School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA;School of Literature, Communication, and Culture, Georgia Institute of Technology, Atlanta, GA;School of Literature, Communication, and Culture, Georgia Institute of Technology, Atlanta, GA

  • Venue:
  • ICIDS'11 Proceedings of the 4th international conference on Interactive Digital Storytelling
  • Year:
  • 2011

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Abstract

This article describes a framework for the mixed-initiative collaborative creation of introductions to improvised theatrical scenes. This framework is based on the empirical study of experienced improvisational actors and the processes they use to reach shared understanding while creating the scene. Improvisation is a notable creative act, where the process of creating the scene is as much a product as the scene itself. Our framework models the processes of narrative scene establishment. It is designed to allow for the collaborative co-creation of the narrative by both human and computational improvisers. This mixed-initiative approach allows either type of improviser (AI or human) to deal with the ambiguities that are inherent to improvisational theatre. This emphasis on equal collaborative creation also differentiates this framework from existing work in story generation and interactive narrative.