This volume launches a series that will focus on providing chapters that advance our understanding of human performance in organizational systems as cognitive engineering principles are applied. It includes a historical review of a cognitive engineering research at a national laboratory.

This volume launches a series that will focus on providing chapters that advance our understanding of human performance in organizational systems as cognitive engineering principles are applied. Topics addressed in this volume include: a historical review of a cognitive engineering research at a national laboratory; an adaptive learning system approach to designing an integrated-embedded training system; application of PRONET, a method that provides a useful representation of sequences of behaviour in a human-machine interaction; application of CTA, a method to explain the mental processes involved in performing a task; application of human performance modelling technologies in system design and evaluation; a review of training critical thinking skills that individuals and teams require in changing environments; a review of commercial simulations for team research; and research paradigms for human performance research in complex systems.

Preface. Cognitive engineering research at Riso from 1962-1979 (K.J. Vicente). Developing adaptability: a theory for the design of integrated-embedded training systems (S.W.J. Kozlowski et al.). Using pathfinder networks to analyze procedural knowledge in interactions with advanced technology (D.J. Gillan, N.J. Cooke). Some guidelines for conducting a cognitive task analysis (G. Klein, L. Militello). The application of human modeling technology to the design, evaluation and operation of complex systems (W. Zachary et al.). Training teams to take initiative: critical thinking in novel situations (M.S. Cohen, B.B. Thompson). Use of commercial, off-the-shelf, simulations for team research (C.A. Bowers, F. Jentsch). Understanding human performance in complex environments: research paradigms and emerging application areas (J.M. Hitt II, et al.).