An Innovative Agent-Based Distributed Framework for Measuring and Tracking Team Performance in Collaborative Environments

Training and testing of Air Force distributed mission operations (DMO) post significant challenges on team work and distributed decision making; furthermore, assessing and tracking collaborative team performance in a simple, effective and autonomous way both routinely and in real time is key for trainees to successfully carry out complicated mission tasks and for external observers to keep track of the performance of both individual team participants and the team as a whole by integrating monitoring, feedbacks and situational awareness across all types of mission parameters and observables. A successful performance evaluation system would extend prior arts and practices from multi-agent system collaborations and team performance measurements. Particularly, our proposed distributed team performance assessment and tracking framework will employ the following key areas: knowledge and environment representation, intelligent agent framework and reasoning processes for collaborative environments, human team performance in a distributed training context, and the potential integration of the proposed framework with existing training systems to assist training and testing for mission task operations by providing previously hard to observe, yet vital dynamic information based on a highly expressive representation. Our innovation is an agent-based distributed framework for assessing and tracking team performance in collaborative environments.