Causal Model-based Measurement and Visualization System (CMVS) for Team Performance in Command and Control of Unmanned Systems

This proposal is to develop a"Causal Model-based Measurement and Visualization System (CMVS) for Team Performance in Command and Control of Unmanned Systems."CMVS will include methods, metrics, displays, and quantitative analysis to diagnose, visualize, and help remedy deficiencies in performance of both individual operators and teams who manage dispersed heterogeneous unmanned systems. Unmanned vehicles (UVs) are being developed and fielded at an unprecedented rate; but maximizing the benefits of autonomous or semi-autonomous robotic vehicles requires smooth integration of decisions by UV operators, consumers of the information provided by the UVs, and other command and control personnel. CMVS will identify the critical new dimensions of manned/unmanned team performance, develop metrics for capturing them in real-time scenarios and operations, integrate the metrics into a valid overall evaluation, and show how the evaluations may be used for recommendations regarding personnel, training, technology, training, and/or aiding. The key to our approach is the innovative use of an evidence-based causal decision model. The model will provide a basis for diagnosing deficiencies and recommending remedies that is grounded in cutting edge research on individual cognition, team process, and automation management. In addition, the model will provide for an integrated team performance measurement system.