Improv: a system for scripting interactive actors in virtual worlds
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
A Behavior Language for Story-Based Believable Agents
IEEE Intelligent Systems
Narrative Development in Improvisational Theatre
ICIDS '09 Proceedings of the 2nd Joint International Conference on Interactive Digital Storytelling: Interactive Storytelling
Shared mental models in improvisational performance
Proceedings of the Intelligent Narrative Technologies III Workshop
An analysis of narrative moves in improvisational theatre
ICIDS'10 Proceedings of the Third joint conference on Interactive digital storytelling
Tilt riders: improvisational agents who know what the scene is about
IVA'11 Proceedings of the 10th international conference on Intelligent virtual agents
A formal architecture of shared mental models for computational improvisational agents
IVA'12 Proceedings of the 12th international conference on Intelligent Virtual Agents
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This paper describes the creation of a digital improvisational theatre game, called Party Quirks, that allows a human user to improvise a scene with synthetic actors according to the rules of the real-world version of the game. The AI actor behaviors are based on our study of communication strategies between real-life actors on stage and the fuzzy concepts that they employ to define and portray characters. Development of content for the system involved the creation of a novel system for animation authoring, design for efficient data reuse, and a work flow centered on parallel data entry and rapid iteration. A subsequent user test of the current system is presented as an initial evaluation of the user-centered experience in participating in a virtual Party Quirks game.