"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 opportunitiesto 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 sector. 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"-- Provided by publisher.
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 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.
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.
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 in Tampa, Florida, USA. 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.
