A METHODOLOGY FOR HUMAN-MACHINE SYSTEMS RESEARCH - KNOWLEDGE ENGINEERING, MODELING, AND SIMULATION

This paper proposes a methodology for carrying out human-machine syste ms engineering research and in particular focuses on the development o f knowledge-based support for training and aiding, The process is char acterized by the definition of knowledge requirements, a normative mod el structure of human-machine interaction, a knowledge architecture th at implements the model, and an interactive real-time simulation envir onment, The knowledge requirements largely specify the model, knowledg e architecture, and simulation, The model and the knowledge architectu re are the basis for the design of intelligent systems. The simulation serves as an experimental testbed that provides a feasible, safe, and effective means for exploring alternative human-machine systems desig ns and also facilitates technology transfer. The aim is to create an u nderstanding of a complex work domain that forms the context for ongoi ng research in human-machine interaction. A specific example from sate llite ground control is described. This paper also serves as the found ation for companion papers on intelligent tutoring and aiding systems.