Validation of intent inferencing by a model-basedoperator's associate

Abstract

OFMspert (Operator Function Model expert system) is an architecture for an intelligent operator's associate. The function of such an associate is to provide intelligent assistance for the human operator of a complex dynamic system. The basis for intelligent, context-sensitive advice and reminders is the ability of the associate to infer likely operator intentions in real time. This paper describes the implementation and validation of OFMspert's intent inferencing capability. In particular, a two-stage methodology for validation is proposed. This methodology is then used in the experimental validation of OFMspert's intent inferencing.