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This paper begins with a discussion of a cognitive engineering model, the operator function model (OFM), to guide design of artifacts for human interaction with complex systems. Such artifacts include operator aids, associates, and tutors. The paper presents an overview of the current implementation and evolution of the operator function model (OFM) and OFMspert, its computational implementation. It describes how OFMspert has been extended to support the design of two intelligent tutoring systems (ITS) for operational control of safety-critical systems. Proof-of-concept demonstrations and evaluation teaching MD-11 transition pilots vertical navigation and a case-based tutor teaching currently certified MD-11 pilots new procedures, adapted since their certification training.

This purpose of this research is to identify the information requirements and interaction issues associated with pilot use of an autoflight system for the high-speed civil transport (HSCT). The approach taken was to survey and evaluate existing research tools and methods for representing and understanding human interaction with complex engineering systems, to model a current-generation autoflight system representative of the capability required in the HSCT using the techniques found to be most appropriate, and then to use this model and other proposed HSCT guidance and control concepts to identify the necessary information requirements and interaction issues. The modeling representation chosen was the Operator Function Model (OFM).