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- W3172116765 abstract "Evaluation of the performance of Human-Machine Teaming brings two substantial values to militaryeffectiveness: (1) enhancing the design quality of cognitive aircraft systems, (2) synchronizingthe behavior of the virtual assistant with the cockpit needs during fights.This paper presents “MOHICAN”, a system-of-systems approach for monitoring the performanceof Human-Machine Teaming in combat aircraft cockpits. MOHICAN will include a method, itstools, and a model addressing a multirole aircraft. Those principles developed for the cockpit maybe extended to more complex systems of systems by expanding measure criteria, and by integratingcollective teaming contribution to global performance of the system as a whole (e.g., militaryair operations)." @default.
- W3172116765 created "2021-06-22" @default.
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- W3172116765 date "2020-01-01" @default.
- W3172116765 modified "2023-09-24" @default.
- W3172116765 title "MOHICAN: human-machine performance monitoring through trust and collaboration analysis. – Towards smarter design of a virtual assistant and real time optimization of machine behavior" @default.
- W3172116765 hasPublicationYear "2020" @default.
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