Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Interactive control of avatars animated with human motion data
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
A user-centric adaptive story architecture: borrowing from acting theories
Proceedings of the 2004 ACM SIGCHI International Conference on Advances in computer entertainment technology
Multifactor Gaussian process models for style-content separation
Proceedings of the 24th international conference on Machine learning
IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
Factored conditional restricted Boltzmann Machines for modeling motion style
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Glances, glares, and glowering: how should a virtual human express emotion through gaze?
Autonomous Agents and Multi-Agent Systems
Bottoms up: improvisational micro-agents
Proceedings of the Intelligent Narrative Technologies III Workshop
A style controller for generating virtual human behaviors
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Proceedings of the 6th International Conference on Foundations of Digital Games
Exploring body language as narrative interface
ICIDS'12 Proceedings of the 5th international conference on Interactive Storytelling
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We define a Performatology approach as combining performing arts theory with AI to design Performative Embodied Agents (PEAs) that simulate skilled acting. Our position is that NPC characters for interactive drama, in the traditions of theater and cinema, should be animated by agent behavior modeled on the physical acting of live performers. We propose that agent behavior problems related to generating embodied fictive characterizations are at least in part gestural acting problems that have been addressed in the arts domain. Actors, puppeteers, and animators have successfully portrayed fictive characters that are both believable and appealing to audiences, and therefore similar agent generated characters should attempt to simulate their techniques.