A Flexible Human Agent Collaboration (HAC) Framework for Human-Human Activity Coordination (H2AC)

Wei Chen, Vikram Manikonda, Edmund Durfee

This paper presents an innovative shared intelligence framework for flexible human-agent collaboration. By flexible, we mean the level of collaboration is selected through a negotiated and iterative human-agent collaboration (HAC) process, which ensures that the needs of a system user are balanced with the availability of suitable experts to form and maintain an expert team that supports the user's decision-making. To enable flexible human-agent collaboration to develop expert teams, our framework suitably represents team members' roles and capabilities, represents tasks and environments, reasons simultaneously about task decomposition and team formation, and coordinates human experts and software agents. We describe our prototype implementation as it applies to a military medical service scenario.

Subjects: 7. Distributed AI; 6. Computer-Human Interaction

Submitted: Sep 12, 2007