Future unmanned systems operators and heterogeneous unmanned systems must be able to work as agile synchronous teams to complete tactical reconnaissance, surveillance, and target acquisition related missions requiring the use of automation to assist the human operator. Interface research in this area is critical to the success of human-automation teaming, thus requiring a research test bed that brings together humans, autonomy, and systems. Fusion is a framework that enables natural human interaction with flexible and adaptive automation via the use of intelligent agents reasoning among disparate domain knowledge sources, machine learning providing monitoring services and intelligent aids to the operator, cooperative planners and advanced simulation through an instrumented, goal oriented operator interface that empowers scientific experimentation and technology advancement across multiple systems. There are four primary research threads that the Fusion framework is addressing to accomplish these goals: cloud-based simulation architecture; software extensibility; interface instrumentation; and, human-autonomy dialog through retrospection.
Rowe, A. J.,
Spriggs, S. E.,
& Hooper, D. J.
(2015). Fusion: A Framework for Human Interaction with Flexible-Adaptive Automation Across Multiple Unmanned Systems. 18th International Symposium on Aviation Psychology, 464-469.