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Full Description
A major transformation in research and training is expected, using new, more advanced versions of computer-based systems. Technology now affords new capabilities: complex and distributed expert decisionmaking and team performance can now be elicited and rehearsed through affordable and easily distributed systems. These new systems will transform research and training on two fronts. It will allow research needed to bridge the gap between internal (i.e. laboratory control) and external (e.g. operational relevance) validity. In addition, it enables a coalition of forces, from training instructors and their students, to research scientists and quantitative performance modelers. While simulation-based research and training is rapidly advancing, with increased funding and sponsorship, as yet there is no comprehensive documentation of tools and techniques. This book addresses the problem, bringing together experts from a variety of perspectives. Their contributions document emerging trends and issues with regard to development, utilization, and validation of these emerging 'scaled world' systems. The readership includes researchers and practitioners who develop and/or utilize simulation-based environments, educators interested in instructional technology and researchers who require criterion-based performance evaluation.
Contents
Contents: Reflections on scenario-based training in tactical command, Karel van den Bosch and Johan B.J. Riemersma; Some reflections on Microworld research, Berndt Brehmer; Monitoring distributed collaboration in the C³Fire Microworld, Rego Granlund and Björn Johansson; Using scaled worlds to track changes in mental models during the acquisition of skill on a complex decision-making task, Raanan Lipshitz and Sharon Marmor-Pilowsky; Engineered experiences for scaled worlds: an example from aviation, Clint Bowers and Florian Jentsch; A psychological fidelity approach to simulation-based training: theory, research and principles, Steve W.J. Kozlowski and Richard P. DeShon; Development of a distributed training and research network, Christopher Barnes, Linda R. Elliott, Samuel G. Schiflett, Alexander Stoyen and Plamen V. Petrov; Scaling scenarios: development and application to C4ISR sustained operations research, Linda R. Elliott, Mathieu A. Dalrymple, Samuel G. Schiflett and James C. Miller; Utilization of rough sets theory to assess physical and psychological fidelity within scaled worlds, Michael D. Coovert and Dawn L. Riddle; Measuring performance in a scaled world: lessons learned from the distributed dynamic decision-making (DDD) synthetic team task, Jean MacMillan, Eileen B. Entin, Kathleen P. Hess and Michael J. Paley; Diagnosticity of mental models in cognitive and metacognitive processes: implications for synthetic task environment training, Sandro Scielzo, Stephen M. Fiore, Haydee M. Cuevas and Eduardo Salas; The changing shape of large-scale programs of research: MSU-DDD as an illustrative example, Stephen E. Humphrey, John R. Hollenbeck, Daniel R. Ilgen and Henry Moon; Memory for attributes of information presented in a synthetic task environment: an illustration with AWACS weapons directors' displays, Verlin B. Hinsz and Christine P. Malone; Using cognitive task analysis to design multiple synthetic tasks for uninhabited aerial vehicle operation, Leo Gugerty; Designing a synthetic task environment, Nancy J. Cooke and Steven M. Shope; Using scaled worlds to study multi-team systems, Michelle A. Marks, John E. Mathieu and Stephen J. Zaccaro; Multi-team ACES: a research platform for studying multi-team systems, John E. Mathieu, Marshell G. Cobb, Michelle A. Marks, Stephen J. Zaccaro and Sean Marsh; Using synthetic naturalistic worlds to train teamwork and cooperation, Wayne Zachary, Jacqueline Scolaro, James Stokes, William Weiland and Tom Santarelli; Author index; Subject index.
