Book contents
- Handbook of Augmented Reality Training Design Principles
- Handbook of Augmented Reality Training Design Principles
- Copyright page
- Dedication
- Contents
- Figures
- Tables
- Preface
- Acknowledgments
- Chapter 1 Introduction
- Chapter 2 Recognition Skills
- Chapter 3 Engagement
- Chapter 4 Scenario Building
- Chapter 5 Fidelity and Realism
- Chapter 6 Supporting Mental Model Construction
- Chapter 7 Scaffolding and Reflection
- Chapter 8 Synthesis
- Chapter 9 Conclusion
- References
- Index
Chapter 2 - Recognition Skills
Published online by Cambridge University Press: 18 May 2023
- Handbook of Augmented Reality Training Design Principles
- Handbook of Augmented Reality Training Design Principles
- Copyright page
- Dedication
- Contents
- Figures
- Tables
- Preface
- Acknowledgments
- Chapter 1 Introduction
- Chapter 2 Recognition Skills
- Chapter 3 Engagement
- Chapter 4 Scenario Building
- Chapter 5 Fidelity and Realism
- Chapter 6 Supporting Mental Model Construction
- Chapter 7 Scaffolding and Reflection
- Chapter 8 Synthesis
- Chapter 9 Conclusion
- References
- Index
Summary
Recognition skills refer to the ability of a practitioner to rapidly size up a situation and know what actions to take. We describe approaches to training recognition skills through the lens of naturalistic decision-making. Specifically, we link the design of training to key theories and constructs, including the recognition-primed decision model, which describes expert decision-making; the data-frame model of sensemaking, which describes how people make sense of a situation and act; and macrocognition, which encompasses complex cognitive activities such as problem solving, coordination, and anticipation. This chapter also describes the components of recognition skills to be trained and defines scenario-based training.
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- Publisher: Cambridge University PressPrint publication year: 2023