Coordinating Multi-dimensional Support in Collaborative Conversational Agents

The field of computer supported collaborative learning has evolved an ontology of types of support for group learning. In recent years, conversational agents have been used successfully to realize forms of dynamic micro and macro level script based support for group learning. However, using existing architectures for managing the coordination of these agent-based behaviors (which can vary widely in scope, timing, and constraints), infelicitous "collision" of behaviors have been observed. In this paper, we introduce a new architecture that facilitates the development, coordination, and co-performance of multiple agent-based support behaviors.