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Chapter 2 - Recognition Skills

Published online by Cambridge University Press:  18 May 2023

Laura G. Militello ,
Christen E. Sushereba  and
Sowmya Ramachandran
Laura G. Militello
Affiliation:
Unveil, LLC
Christen E. Sushereba
Affiliation:
Unveil, LLC
Sowmya Ramachandran
Affiliation:
Stottler Henke Associates, Inc.
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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.

Keywords

recognition skills trainingscenario-based trainingaugmented realitynaturalistic decision-makingrecognition-primed decision-makingdata-frame model of sensemakingexpertisetraining designmacrocognition
Type
Chapter
Information
Handbook of Augmented Reality Training Design Principles , pp. 8 - 16
Publisher: Cambridge University Press
Print publication year: 2023

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