AI and Gamification Technologies for Complex Work
Published on 11. September 2025
222 pages
978-1-040-41991-5 (ISBN)
Description
The medium through which training in the workplace is delivered has been changing in recent years to offer a more personalized and immersive experience. The invention of virtual reality (VR) and augmented reality (AR) platforms has created opportunities to take a more hands-on approach to familiarizing oneself with a task or environment with mitigated time and monetary commitments. Written assessments are being swiftly replaced with more interactive and scientifically validated training simulations and this essential technology is in high demand in the government and private sectors. This book highlights many of the ways simulation-based training can be leveraged to create personalized training curricula for those in high-risk careers and how it can be assessed successfully.
AI and Gamification Technologies for Complex Work uncovers the use of artificial intelligence (AI) and machine learning (ML) for the purposes of creating adaptive, personalized training for individuals who work in complex jobs. It covers adaptive simulation-based training, fighting skill decay through game-based training, and additional uses of AI/ML and other tools in measuring human performance. Insights from professionals and experts in the fields of simulation and training provide readers with information about current applications of AI/ML in creating adaptive or personalized training, as well as investigations into the future of simulation and game-based training, as virtual and augmented realities proliferate modern training programs.
The book looks at how data science, AI, and ML contribute to adaptive training systems and the reader is encouraged to look further into the engines that drive adaptive training while devising their own systems for training in complex jobs. This book is ideal for professionals in human factors engineering and psychology, artificial intelligence, military training and simulation, game development, data science, modeling and simulation and industrial and organizational psychology.
AI and Gamification Technologies for Complex Work uncovers the use of artificial intelligence (AI) and machine learning (ML) for the purposes of creating adaptive, personalized training for individuals who work in complex jobs. It covers adaptive simulation-based training, fighting skill decay through game-based training, and additional uses of AI/ML and other tools in measuring human performance. Insights from professionals and experts in the fields of simulation and training provide readers with information about current applications of AI/ML in creating adaptive or personalized training, as well as investigations into the future of simulation and game-based training, as virtual and augmented realities proliferate modern training programs.
The book looks at how data science, AI, and ML contribute to adaptive training systems and the reader is encouraged to look further into the engines that drive adaptive training while devising their own systems for training in complex jobs. This book is ideal for professionals in human factors engineering and psychology, artificial intelligence, military training and simulation, game development, data science, modeling and simulation and industrial and organizational psychology.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Illustrations
10 Tables, black and white; 37 Line drawings, black and white; 4 Halftones, black and white; 41 Illustrations, black and white
File size
7,47 MB
ISBN-13
978-1-040-41991-5 (9781040419915)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Phillip M. Mangos | James C. Ferraro
AI and Gamification Technologies for Complex Work
Simulation and Training
Book
09/2025
1st Edition
CRC Press
€121.90
Shipment within 10-20 days
Persons
Phillip M. Mangos, PhD, is the CEO and Chief Scientist of Adaptive Immersion Technologies, a Florida-based business focused on the synthesis of predictive data modeling and analytics, simulation, and assessment technology to optimize human performance. He holds a BS in Psychology from the University of South Florida and a PhD in Industrial/Organizational and Human Factors from Wright State University. With a diverse career background, he has worked as a team member to support projects in aviation, law enforcement, transportation, intelligence, information technology, and utilities industries.
James C. Ferraro, PhD, is a Senior Human Factors Research Scientist at Adaptive Immersion Technologies. He specializes in intelligent simulations and game-based assessments to improve human performance in complex, automated systems. He holds a PhD in Human Factors and Cognitive Psychology and an MA in Applied Experimental and Human Factors Psychology from the University of Central Florida. His research focuses on human-machine interaction, trust in automation, and performance prediction. Dr. Ferraro has contributed to government-sponsored projects and co-edited multiple book series on human performance and simulation, with numerous publications in the field.
James C. Ferraro, PhD, is a Senior Human Factors Research Scientist at Adaptive Immersion Technologies. He specializes in intelligent simulations and game-based assessments to improve human performance in complex, automated systems. He holds a PhD in Human Factors and Cognitive Psychology and an MA in Applied Experimental and Human Factors Psychology from the University of Central Florida. His research focuses on human-machine interaction, trust in automation, and performance prediction. Dr. Ferraro has contributed to government-sponsored projects and co-edited multiple book series on human performance and simulation, with numerous publications in the field.
Content
A Theoretical Framework for Performance Analysis in Competency-Based Experiential Learning Environments
Instruction Intervention in Game-Based Assessment of Unmanned Systems Operator Performance
Game-Based Small Team Training: A Guide to Implementing Adaptive Game-Based Simulation Training
Game-Based Tools for Highly Automated Work: Trends, Challenges, and Opportunities
Artificial Intelligence Explainability: A Human Factors Approach
Using Artificial Intelligence to Train Human Intelligence: Theory and Practice in the Design of Adaptive Training Systems
From Manual to Machine Learning: Reflecting on the Development of an Adaptive Training System for a Military Decision-Making Task
Exploring Cognitive Science Foundations for AI-Driven Healthcare Simulation
Augmenting Rater Judgment Using Artificial Intelligence
AI and the Employee Lifecycle: What We Know and What May Come
Instruction Intervention in Game-Based Assessment of Unmanned Systems Operator Performance
Game-Based Small Team Training: A Guide to Implementing Adaptive Game-Based Simulation Training
Game-Based Tools for Highly Automated Work: Trends, Challenges, and Opportunities
Artificial Intelligence Explainability: A Human Factors Approach
Using Artificial Intelligence to Train Human Intelligence: Theory and Practice in the Design of Adaptive Training Systems
From Manual to Machine Learning: Reflecting on the Development of an Adaptive Training System for a Military Decision-Making Task
Exploring Cognitive Science Foundations for AI-Driven Healthcare Simulation
Augmenting Rater Judgment Using Artificial Intelligence
AI and the Employee Lifecycle: What We Know and What May Come
