Human Factors in Simulation and Training : Theory and Methods(2 NED)

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Human Factors in Simulation and Training : Theory and Methods(2 NED)

  • 言語:ENG
  • ISBN:9781032512525
  • eISBN:9781000908978

ファイル: /

Description

Human Factors in Simulation and Training: Theory and Methods covers theoretical concepts on human factors principles as they apply to the fields of simulation and training in the real world.

This book discusses traditional and nontraditional aspects of simulation and training. Topics covered include simulation fidelity, transfer of training, limits of simulation and training, virtual reality in the training environment, simulation-based situation awareness training, automated performance measures, performance assessment in simulation, adaptive simulation-based training, and scoring simulations with artificial intelligence

This book will be a valuable resource for professionals and graduate students in the fields of ergonomics, human factors, computer engineering, aerospace engineering and occupational health and safety.

Table of Contents

  1. Human Factors in Simulation and Training: An Overview

T. Chris Foster, William F. Moroney, Henry L. Phillips IV, & Michael G. Lilienthal

2. Justification for Use of Simulation

Meredith Carroll, Summer Rebensky, Maria Chaparro, & John Deaton

3. Simulation Fidelity

Dahai Liu, Dan Macchiarella, & Dennis A. Vincenzi

4. Transfer of Training

Dahai Liu, Jacqueline McSorley, Elizabeth Blickensderfer, Dan Macchiarella, & Dennis A. Vincenzi

5. Simulation-Based Training for Decision Making Providing A guide to Develop Training Based on Decision-Making Theories

Richard J. Simonson, Kimberly N. Williams, Joseph R. Keebler, & Elizabeth H. Lazzara

6. Almost Like the Real Thing – The Hidden Limits in Flight Simulation and Training

Shem Malmquist, Deborah Sater Carstens, & Nicklas Dahlstrom

7. Cyber Sickness in Immersive Training Environments

Kay M. Stanney, Clair L. Hughes, Peyton Bailey, Ernesto Ruiz, & Cali Fidopiastis

8. Distributed Debriefing for Simulation-Based Training

Cullen D. Jackson, Di Qi, Anna Johansson, Emily E. Wiese, William J. Salter, Emily M. Stelzer, Suvranu De, & Jared Freeman

9. Performance Assessment in Simulation

Steve Hall, Michael Brannick, & John L. Kleber

10. Performance Measurement Issues and Guidelines for Adaptive, Simulation-Based Training

Phillip M. Mangos & Joan H. Johnston

11. Scoring Simulations with Artificial Intelligence

Carter Gibson, Nick Koenig, Joshua Andrews, & Michael Geden

12. Dissecting the Neurodynamics of the Pauses and Uncertainties of Healthcare Teams

Ronald Stevens, Trysha Galloway, & Ann Willemsen-Dunlap

13. The Future of Simulation

Peter A. Hancock

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