The design of guided learner-adaptable scaffolding in interactive learning environments
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An empirical study of cognition and theatrical improvisation
Proceedings of the seventh ACM conference on Creativity and cognition
A Cognitive Model of Improvisation in Emergency Management
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A knowledge-based framework for the collaborative improvisation of scene introductions
ICIDS'11 Proceedings of the 4th international conference on Interactive Digital Storytelling
A computational model for finding the tilt in an improvised scene
ICIDS'11 Proceedings of the 4th international conference on Interactive Digital Storytelling
A formal architecture of shared mental models for computational improvisational agents
IVA'12 Proceedings of the 12th international conference on Intelligent Virtual Agents
Let's get together: the formation and success of online creative collaborations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Leaving room for improvisation: towards a design approach for open-ended play
Proceedings of the 12th International Conference on Interaction Design and Children
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This article presents our currents findings from an empirical study of the cognition employed by performers in improvisational theatre. Improvised theatrical performance is an activity in which one or more individuals create a dramatic or comedic performance in real-time and is an interesting example of creative, real-time, collaborative problem solving. Unlike other forms of creative problem solving, improvisers are constrained from explicitly coordinating with the other improvisers on stage or revising their decisions after the fact. This article focuses on the means by which a group of improvisers converge on a shared understanding (i.e. a shared mental model) of what a scene is about and how it should proceed. We present our findings on how improvisers build shared mental models during a performance and discuss our applications of these findings to the design and development of improvisational intelligent agents.