Principle hierarchy based intelligent tutoring system for common cockpit helicopter training

Abstract

SHAI is developing a comprehensive Operator Machine Interface Assistant (OMIA) system. The system will assist operators learn the new common-cockpit MH-60R and MH-60S helicopters in an increasingly broad variety of mission tasks and analyses, using the wide assortment of sensor, navigation, and computational resources available. We are employing a principle hierarchy based intelligent tutoring system, to teach the Common Cockpit machine interface during simulated mission execution. The Intelligent tutoring system utilizes a SHAI developed ITS authoring environment that has been developed and enhanced for various other ITS projects. This paper describes the OMIA system, emphasizing the authoring tool’s ability to develop visually the principle hierarchy and the evaluation finite state machines necessary to evaluate the student. In addition the decision tree enhancement to the authoring tool developed as part of this OMIA project, is described.