Laura G. Militello is a co-founder of Unveil LLC, a startup company that delivers augmented reality-based recognition skills training to combat medics, emergency responders, and others. She co-authored Perspectives on Cognitive Task Analysis (2008) and she co-hosts the Naturalistic Decision Making podcast. Her work supports people who make tough decisions in challenging situations. Christen E. Sushereba received her M. S. in Human Factors and Industrial/Organizational Psychology from Wright State University in Dayton, Ohio, USA in 2018. She has spent the first decade of her career applying cognitive engineering and human factors methods to a variety of domains including military pararescue, emergency medicine, aviation, and human-automation teaming. Sowmya Ramachandran received her Ph.D. in Computer Science from The University of Texas at Austin, USA in 1998. She has two decades of experience in designing rich, interactive, personalized learning experiences for professional training, and is excited about the use of artificial intelligence to enhance training and education.

'This handbook lays out the foundations of skilled decision making and cognitive performance, focusing on recognition skills as fundamental. Designing training for developing and improving cognitive performance has been a hidden practice offered by only a very few pioneering researchers and practitioners until now. This book opens the lid on how to do this effectively based on both cutting-edge theory and models in cognitive performance, as well as an understanding of the technology offering. Every technology company investing money into developing these technology-driven mixed-reality training systems should be reading this to ensure relevance, utility, usability, and adoption to their training organisation customers.' Rob Hutton, University of the West of England, UK

• 1. Introduction; 2. Engagement; 3. Scenario Building; 4. Fidelity and Realism; 5. Supporting Mental Model Construction; 6. Scaffolding and Reflection; 7. Synthesis; 8. Conclusion; References; Index.

Laura G. Militello is a co-founder of Unveil LLC, a startup company that delivers augmented reality-based recognition skills training to combat medics, emergency responders, and others. She co-authored Perspectives on Cognitive Task Analysis (2008) and she co-hosts the Naturalistic Decision Making podcast. Her work supports people who make tough decisions in challenging situations. Christen E. Sushereba received her M. S. in Human Factors and Industrial/Organizational Psychology from Wright State University in Dayton, Ohio, USA in 2018. She has spent the first decade of her career applying cognitive engineering and human factors methods to a variety of domains including military pararescue, emergency medicine, aviation, and human-automation teaming. Sowmya Ramachandran received her Ph.D. in Computer Science from The University of Texas at Austin, USA in 1998. She has two decades of experience in designing rich, interactive, personalized learning experiences for professional training, and is excited about the use of artificial intelligence to enhance training and education.

'This handbook lays out the foundations of skilled decision making and cognitive performance, focusing on recognition skills as fundamental. Designing training for developing and improving cognitive performance has been a hidden practice offered by only a very few pioneering researchers and practitioners until now. This book opens the lid on how to do this effectively based on both cutting-edge theory and models in cognitive performance, as well as an understanding of the technology offering. Every technology company investing money into developing these technology-driven mixed-reality training systems should be reading this to ensure relevance, utility, usability, and adoption to their training organisation customers.' Rob Hutton, University of the West of England, UK

• 1. Introduction; 2. Engagement; 3. Scenario Building; 4. Fidelity and Realism; 5. Supporting Mental Model Construction; 6. Scaffolding and Reflection; 7. Synthesis; 8. Conclusion; References; Index.