Distributed Cognition and Reality : How Pilots and Crews Make Decisions - Katherine L. Plant

Distributed Cognition and Reality

How Pilots and Crews Make Decisions

By: Katherine L. Plant, Neville A. Stanton

Hardcover | 12 October 2016

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In the aviation environment, judgement and decision-making in the handling of emergency situations is usually the factor that determines whether or not an incident turns into an accident. The benefit of hindsight allows labels of 'human error' or 'poor decision-making' to be applied to the decision output. What should be sought by researchers and accident investigators is an understanding of the local rationality of operators via their decision-making process, in order to establish why actions and assessments made sense to the operator at the time they were made. This book explores aeronautical critical decision-making through the Perceptual Cycle Model (PCM). The PCM describes the reciprocal, cyclical, relationship that exists between operators and their work environment, depicting the interaction between internally held mental schemata and externally available environmental information in making decisions and actions. The reader is first introduced to Distributed Cognition and Schema Theory: a central, but controversial, element of the PCM. Following this, a case-study analysis of the Kegworth plane crash exemplifies the theory. Through critical-incident interviews conducted in rotary wing aviation, Distributed Cognition and Reality demonstrates how the PCM can explain local rationality. A new method has been developed and validated to assist in the elicitation and analysis of critical decisions. The book also applies the PCM to the study of teams within a search and rescue context, demonstrating how teams function in a distributed perceptual cycle. The concluding chapter discusses the findings in light of their theoretical, methodological and practical applications. Relevant readerships for this work include researchers, academics, practitioners and students in human factors, ergonomics, engineering and aviation. The book will also have broad appeal to anyone involved in training and evaluating pilot decision-making, such as accident investigators and
Industry Reviews

The perceptual-cycle model (PCM) is one of the few approaches that truly integrates humans, systems, and environments. Plant and Stanton's thorough and detailed explanation of PCM, along with its application to understanding pilot decision making in critical situations, is a tremendously valuable resource for researchers and practitioners in this field. This book will be indispensable for all of us in the field of aviation human factors.Professor Steven Landry, Purdue University, USA

Plant and Stanton have produced a remarkable piece of work in the field of aeronautical decision making. As an expert in the field, I find the Perceptual Cycle Model is extremely interesting. This book will be a valuable reference for accident analysis in practice as well as offering new research directions in the field. Prof Guy Andre Boy, Florida Institute of Technology, USA

This book challenges existing cognitive explanations of decision making to look beyond individual models and consider the dynamic collaborations between crew members.This book provides an analytic framework for improving our understanding of the precursors to critical events.A key contribution is to demonstrate the practical utility of tools that have a strong theoretical foundation. Professor Chris Johnson, University of Glasgow, UK

This book deserves a large audience and the theory is applicable to much wider domains for investigating incidents in other safety-critical systems. It moves significantly beyond the state-of-the-art accounts of learning from (human) error and contains many stimulating ideas for future research and practice in cognitive systems. I can highly recommend this book to engineers, practitioners, and academics who work on improving the safety of complex socio-technical systems, both through their design and in training the human operators. Professor Max Mulder, Technical University Delft, The Netherlands

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