MOHICAN: human-machine performance monitoring through trust and collaboration analysis. – Towards smarter design of a virtual assistant and real time optimization of machine behavior

Abstract

Evaluation of the performance of Human-Machine Teaming brings two substantial values to military effectiveness: (1) enhancing the design quality of cognitive aircraft systems, (2) synchronizing the behavior of the virtual assistant with the cockpit needs during fights. This paper presents “MOHICAN”, a system-of-systems approach for monitoring the performance of Human-Machine Teaming in combat aircraft cockpits. MOHICAN will include a method, its tools, and a model addressing a multirole aircraft. Those principles developed for the cockpit may be extended to more complex systems of systems by expanding measure criteria, and by integrating collective teaming contribution to global performance of the system as a whole (e.g., military air operations)