Scaled Worlds: Development, Validation and Applications

Linda R. Elliott, Michael D. Coovert, Samuel G. Schiflett

• Publisher: Routledge
• Year: 2017
• eBook ISBN: 9781351902052
• Topic: Technology & Engineering
• Subtopic: Business General
• Index: Technology & Engineering

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.

Table of contents

• Cover
• Half Title
• Title
• Copyright
• Contents
• Preface
• Acknowledgements
• 1 Reflections on Scenario-Based Training in Tactical Command
• 2 Some Reflections on Microworld Research
• 3 Monitoring Distributed Collaboration in the C3Fire Microworld
• 4 Using Scaled Worlds to Track Changes in Mental Models During the Acquisition of Skill on a Complex Decision-making Task
• 5 Engineered Experiences for Scaled Worlds: An Example from Aviation
• 6 A Psychological Fidelity Approach to Simulation-Based Training: Theory, Research and Principles
• 7 Development of a Distributed Training and Research Network
• 8 Scaling Scenarios: Development and Application to C4ISR Sustained Operations Research
• 9 Utilization of Rough Sets Theory to Assess Physical and Psychological Fidelity within Scaled Worlds
• 10 Measuring Performance in a Scaled World: Lessons Learned from the Distributed Dynamic Decision-making (DDD) Synthetic Team Task
• 11 Diagnosticity of Mental Models in Cognitive and Metacognitive Processes: Implications for Synthetic Task Environment Training
• 12 The Changing Shape of Large-Scale Programs of Research: MSU-DDD as an Illustrative Example
• 13 Memory for Attributes of Information Presented in a Synthetic Task Environment: An Illustration with AWACS Weapons Directors' Displays
• 14 Using Cognitive Task Analysis to Design Multiple Synthetic Tasks for Unınhabited Aerial Vehicle Operation
• 15 Designing a Synthetic Task Environment
• 16 Using Scaled Worlds to Study Multi-Team Systems
• 17 Multi-Team ACES: A Research Platform for Studying Multi-Team Systems
• 18 Using Synthetic Naturalistic Worlds to Train Teamwork and Cooperation
• Author Index
• Subject Index