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The medium through which training in the workplace is delivered has been changing in recent years to offer a more personalized and immersive experience.
List of contents
1. Adaptive Training for Unmanned Systems Operators.
2. Contemporary Approaches to Adaptive Training.
3. Game-Based Training for Small Teams.
4. AI-Generated Expert Ratings for Assessment Content.
5. Machine Learning Explainability: A Human Factors Approach.
About the author
Phillip M. Mangos, Ph.D., is 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 B.S. 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 is a Human Factors Research Scientist with Adaptive Immersion Technologies in Florida. He designs and develops performance assessment material for the training and selection of individuals operating in complex environments and automated systems. With a B.S. in Southern Connecticut State University and an MA and PhD from the University of Central Florida, James's primary research interests are in function allocation in human-machine systems and factors influencing human-computer interaction (e.g., trust).
Dr. Ferraro is a human factors research scientist specializing in intelligent simulations and game-based assessment of human performance in complex systems. He received his Ph.D. in Human Factors and Cognitive Psychology and his M.A. in Applied Experimental and Human Factors Psychology from the University of Central Florida. Dr. Ferraro has led and contributed to a number of research efforts in support of government-sponsored projects to improve training of personnel in various occupations applying AI and highly automated systems. Areas include air traffic control, tactical urban warfare, and unmanned aircraft operations. His research on topics such as pilot/operator attentional strategies, trust in automated systems, and predictors of individual performance has been presented at local, regional, and international conferences. He is an editor of the two-volume book series
Human Factors in Simulation and Training (2022), the technical editor of the two-volume book series
Human Performance in Automated and Autonomous Systems (2019), and has co-authored several published research papers and book chapters on topics related to human-automation interaction. Dr. Ferraro is currently a Senior Research Scientist with Adaptive Immersion Technologies, based in Tampa, Florida.
