Expertise: Research and Applications Series – serie

This volume provides an exceptional perspective on the nature, evolution, contributions and future of the field of Cognitive Systems Engineering (CSE). It is a resource to support both the teaching and practice of CSE. It accomplishes this through its organization into two complementary approaches to the topic. The first is an historical perspective: In the retrospections of leaders of the field, what have been the seminal achievements of cognitive human factors? What are the "lessons learned" that became foundational to CSE, and how did that foundation evolve into a broader systems view of cognitive work? The second perspective is both pedagogical and future-looking: What are the major conceptual issues that have to be addressed by CSE and how can a new generation of researchers be prepared to further advance CSE? Topics include studies of expertise, cognitive work analysis, cognitive task analysis, human performance, system design, cognitive modeling, decision making, human-computer interaction, trust in automation, teamwork and ecological interface design. A thematic focus will be on systems-level analysis, and such notions as resilience engineering and systems-level measurement. The book features broad coverage of many of the domains to which CSE is being applied, among them industrial process control, health care, decision aiding and aviation human factors. The book’s contributions are provided by an extraordinary group of leaders and pathfinders in applied psychology, cognitive science, systems analysis and system design. In combination these chapters present invaluable insights, experiences and continuing uncertainties on the subject of the field of CSE, and in doing so honor the career and achievements of Professor David D. Woods of Ohio State University.

Technological development has changed the nature of industrial production so that it is no longer a question of humans working with a machine, but rather that a joint human machine system is performing the task. This development, which started in the 1940s, has become even more pronounced with the proliferation of computers and the invasion of digital technology in all wakes of working life. It may appear that the importance of human work has been reduced compared to what can be achieved by intelligent software systems, but in reality, the opposite is true: the more complex a system, the more vital the human operator's task. The conditions have changed, however, whereas people used to be in control of their own tasks, today they have become supervisors of tasks which are shared between humans and machines. A considerable effort has been devoted to the domain of administrative and clerical work and has led to the establishment of an internationally based human-computer interaction (HCI) community at research and application levels. The HCI community, however, has paid more attention to static environments where the human operator is in complete control of the situation, rather than to dynamic environments where changes may occur independent of human intervention and actions. This book's basic philosophy is the conviction that human operators remain the unchallenged experts even in the worst cases where their working conditions have been impoverished by senseless automation. They maintain this advantage due to their ability to learn and build up a high level of expertise -- a foundation of operational knowledge -- during their work. This expertise must be taken into account in the development of efficient human-machine systems, in the specification of training requirements, and in the identification of needs for specific computer support to human actions. Supporting this philosophy, this volume *deals with the main features of cognition in dynamic environments, combining issues coming from empirical approaches of human cognition and cognitive simulation, *addresses the question of the development of competence and expertise, and *proposes ways to take up the main challenge in this domain -- the design of an actual cooperation between human experts and computers of the next century.

If you aren't using the term naturalistic decision making, or NDM, you soon will be. Even as a very young field, NDM has already had far-reaching applications in areas as diverse as management, aviation, health care, nuclear power, military command and control, corporate teamwork, and manufacturing.Put simply, NDM is the way people use their experience to make decisions in the context of a job or task. Of particular interest to NDM researchers are the effects of high-stake consequences, shifting goals, incomplete information, time pressure, uncertainty, and other conditions that are present in most of today's work places and that add to the complexity of decision making. Applications of NDM research findings target decision aids and training that help people in their decision-making processes. This book reports the findings of top NDM researchers, as well as many of their current applications. In addition, the book offers a historical perspective on the emergence of this new paradigm, describes recent theoretical and methodological advancements, and points to future developments. It was written for people interested in decision making research and applications relative to a diverse array of work settings and products such as human-computer interfaces, decision support systems, individual and team training, product designs, and organizational development and planning.

If you aren't using the term naturalistic decision making, or NDM, you soon will be. Even as a very young field, NDM has already had far-reaching applications in areas as diverse as management, aviation, health care, nuclear power, military command and control, corporate teamwork, and manufacturing.Put simply, NDM is the way people use their experience to make decisions in the context of a job or task. Of particular interest to NDM researchers are the effects of high-stake consequences, shifting goals, incomplete information, time pressure, uncertainty, and other conditions that are present in most of today's work places and that add to the complexity of decision making. Applications of NDM research findings target decision aids and training that help people in their decision-making processes. This book reports the findings of top NDM researchers, as well as many of their current applications. In addition, the book offers a historical perspective on the emergence of this new paradigm, describes recent theoretical and methodological advancements, and points to future developments. It was written for people interested in decision making research and applications relative to a diverse array of work settings and products such as human-computer interfaces, decision support systems, individual and team training, product designs, and organizational development and planning.

For nearly 25 years, expertise has been considered an important testing ground for theories of cognition. Cognitive scientists have examined experts as diverse as chess masters, waiters, field-hockey players, and computer programmers. Recently, increased attention has been given to the arts, including dance, music appreciation and performance, and literary analysis. It is therefore somewhat surprising that--except for the authors' program of research dating from the late 1980s--virtually no studies on the cognitive processes of professional actors can be found in the literature. These experts not only routinely memorize hours of verbal material in a very short time, but they retrieve it verbatim along with the accompanying gestures, movements, thoughts, and emotions of the characters. The mental processes involved in this task constitute the subject of this recent research and are described in detail in this book.

For nearly 25 years, expertise has been considered an important testing ground for theories of cognition. Cognitive scientists have examined experts as diverse as chess masters, waiters, field-hockey players, and computer programmers. Recently, increased attention has been given to the arts, including dance, music appreciation and performance, and literary analysis. It is therefore somewhat surprising that--except for the authors' program of research dating from the late 1980s--virtually no studies on the cognitive processes of professional actors can be found in the literature. These experts not only routinely memorize hours of verbal material in a very short time, but they retrieve it verbatim along with the accompanying gestures, movements, thoughts, and emotions of the characters. The mental processes involved in this task constitute the subject of this recent research and are described in detail in this book.

Cognitive task analysis is a broad area consisting of tools and techniques for describing the knowledge and strategies required for task performance. Cognitive task analysis has implications for the development of expert systems, training and instructional design, expert decision making and policymaking. It has been applied in a wide range of settings, with different purposes, for instance: specifying user requirements in system design or specifying training requirements in training needs analysis. The topics to be covered by this work include: general approaches to cognitive task analysis, system design, instruction, and cognitive task analysis for teams. The work settings to which the tools and techniques described in this work have been applied include: 911 dispatching, faultfinding on board naval ships, design aircraft, and various support systems.The editors' goal in this book is to present in a single source a comprehensive, in-depth introduction to the field of cognitive task analysis. They have attempted to include as many examples as possible in the book, making it highly suitable for those wishing to undertake a cognitive task analysis themselves. The book also contains a historical introduction to the field and an annotated bibliography, making it an excellent guide to additional resources.

This book contains selected papers presented at the 1998 conference on Naturalistic Decision Making (NDM). The objectives of the conference were to:*make American researchers more aware of NDM research being conducted abroad, particularly in Europe;*connect NDM research with work in management and industry, to stretch beyond the military and paramilitary focus; and *formulate a more explicit connection between NDM and expertise. These objectives are reflected in the chapters of this volume.

This book contains selected papers presented at the 1998 conference on Naturalistic Decision Making (NDM). The objectives of the conference were to:*make American researchers more aware of NDM research being conducted abroad, particularly in Europe;*connect NDM research with work in management and industry, to stretch beyond the military and paramilitary focus; and *formulate a more explicit connection between NDM and expertise. These objectives are reflected in the chapters of this volume.

The Social Psychology of Expertise offers an integrative perspective to the analysis of experts and expertise in organizations, social roles, management, etc. It is the first book to link the psychology of expertise to sociology, particularly the sociology of professions. By examining the converging elements of both approaches and investigating the conditions of interactions with all types of experts, The Social Psychology of Expertise makes it possible to understand the market form of expert services. This book:*introduces the expert role approach--a new and encompassing view on the role of experts and how to use the experts' expertise in organizations, financial markets, and environmental issues;*enhances a mutual understanding between the psychology of expertise and the sociology of professions (for students, as well as scholars);*provides a helpful understanding of dealing with experts in the context of organizational behavior;*shows how we can make proper use of the experts' expertise in management and planning;*demonstrates how the role of experts influences volatility in financial markets; and*defines the limits of human expertise in predicting climate change.

Researchers have revealed that real expertise, while applied to well-defined tasks with highly circumscribed contexts, often stretches beyond its routine boundaries. For example, a medical doctor may be called upon to diagnose a rare disease or perform emergency surgery outside his or her area of specialization because other experts are not available. Moreover, in some cases, the context for expertise is in a constant state of flux, such that no one case is identical. Expertise Out of Context is a culmination of some of the most insightful studies conducted by researchers in the fields of cognitive systems engineering and naturalistic decision making in the effort to better understand expertise and its development.Born out of the Sixth International Conference on Naturalistic Decision Making, a conference that gathers researchers who study cognition, perception, and reasoning outside of the traditional laboratory, this book is organized in five parts, the first of which provides an overview of the topic and presents varied perspectives. Consequent sections cover how to make sense of things, tools for thinking out of context, how to cope with uncertainty in a changing workplace, and teams operating out of context.As researchers in naturalistic decision making have investigated such areas as the knowledge and decision-making skills of expert firefighters, critical care nurses, military commanders, and aircraft pilots, this volume is of importance to an expansive audience, including individuals in business, government, industry, and society at large.

Researchers have revealed that real expertise, while applied to well-defined tasks with highly circumscribed contexts, often stretches beyond its routine boundaries. For example, a medical doctor may be called upon to diagnose a rare disease or perform emergency surgery outside his or her area of specialization because other experts are not available. Moreover, in some cases, the context for expertise is in a constant state of flux, such that no one case is identical. Expertise Out of Context is a culmination of some of the most insightful studies conducted by researchers in the fields of cognitive systems engineering and naturalistic decision making in the effort to better understand expertise and its development.Born out of the Sixth International Conference on Naturalistic Decision Making, a conference that gathers researchers who study cognition, perception, and reasoning outside of the traditional laboratory, this book is organized in five parts, the first of which provides an overview of the topic and presents varied perspectives. Consequent sections cover how to make sense of things, tools for thinking out of context, how to cope with uncertainty in a changing workplace, and teams operating out of context.As researchers in naturalistic decision making have investigated such areas as the knowledge and decision-making skills of expert firefighters, critical care nurses, military commanders, and aircraft pilots, this volume is of importance to an expansive audience, including individuals in business, government, industry, and society at large.

This volume is the first comprehensive history of task analysis, charting its origins from the earliest applied psychology through to modern forms of task analysis that focus on the study of cognitive work. Through this detailed historical analysis, it is made apparent how task analysis has always been cognitive.Chapters cover the histories, key ideas, and contributions to methodology of a number of communities of practice, including: Sociotechnics, European Work Analysis, Naturalistic Decision Making, Cognitive Systems Engineering, Ethnography, Human Factors. Further, integrative chapters focus on the purposes of cognitive task analysis. It is shown how all the various communities of practice are living in the same scientific universe, though are in many ways distinctive in terms of their key concerns and main theories. It is a historiography of task analysis, and the people who invented task analysis. It is also an explanatory primer on what cognitive task analysis is all about and what it can do. Perspectives on Cognitive Task Analyis will be of value to professionals in allied disciplines who might come to rely on cognitive task analysis in their system development programs. It will be invaluable to students who need to know what task analysis and cognitive task analysis are really all about. For practitioners of cognitive task analysis, this volume is a major presentation of what their scientific universe is all about.

Technological development has changed the nature of industrial production so that it is no longer a question of humans working with a machine, but rather that a joint human machine system is performing the task. This development, which started in the 1940s, has become even more pronounced with the proliferation of computers and the invasion of digital technology in all wakes of working life. It may appear that the importance of human work has been reduced compared to what can be achieved by intelligent software systems, but in reality, the opposite is true: the more complex a system, the more vital the human operator's task. The conditions have changed, however, whereas people used to be in control of their own tasks, today they have become supervisors of tasks which are shared between humans and machines. A considerable effort has been devoted to the domain of administrative and clerical work and has led to the establishment of an internationally based human-computer interaction (HCI) community at research and application levels. The HCI community, however, has paid more attention to static environments where the human operator is in complete control of the situation, rather than to dynamic environments where changes may occur independent of human intervention and actions. This book's basic philosophy is the conviction that human operators remain the unchallenged experts even in the worst cases where their working conditions have been impoverished by senseless automation. They maintain this advantage due to their ability to learn and build up a high level of expertise -- a foundation of operational knowledge -- during their work. This expertise must be taken into account in the development of efficient human-machine systems, in the specification of training requirements, and in the identification of needs for specific computer support to human actions. Supporting this philosophy, this volume *deals with the main features of cognition in dynamic environments, combining issues coming from empirical approaches of human cognition and cognitive simulation, *addresses the question of the development of competence and expertise, and *proposes ways to take up the main challenge in this domain -- the design of an actual cooperation between human experts and computers of the next century.

The focus of this book is on how experts adapt to complexity, synthesize and interpret information in context, and transform or "fuse" disparate items of information into coherent knowledge. The chapters examine these processes across experts (e.g. global leaders, individuals in extreme environments, managers, police officers, pilots, commanders, doctors, inventors), across contexts (e.g. space and space analogs, corporate organizations, command and control, crisis and crowd management, air traffic control, the operating room, product development), and for both individual and team performance. Successful information integration is a key factor in the success of diverse endeavors, including team attempts to climb Mt. Everest, crowd control in the Middle East, and remote drilling operations.This volume is divided into four sections, each with a specific focus on an area of expert performance, resulting in a text that covers a wide range of useful information. These sections present well-researched discussions, such as: the management of complex situations in various fields and decision contexts; technological and training approaches to facilitate knowledge management by individual experts and expert teams; new or neglected perspectives in expert decision making; and the importance of ‘modeling’ expert performance through techniques and frameworks such as Cognitive Task Analysis, computational architectures based on the notion of causal belief mapping such as ‘Convince Me,’ or the data/frame model of sensemaking.The volume provides essential reading for researchers and practitioners of Naturalistic Decision Making and those who study Expertise; Organizational and Cognitive Psychologists; and researchers and students in Business and Engineering.

This volume provides an exceptional perspective on the nature, evolution, contributions and future of the field of Cognitive Systems Engineering (CSE). It is a resource to support both the teaching and practice of CSE. It accomplishes this through its organization into two complementary approaches to the topic. The first is an historical perspective: In the retrospections of leaders of the field, what have been the seminal achievements of cognitive human factors? What are the "lessons learned" that became foundational to CSE, and how did that foundation evolve into a broader systems view of cognitive work? The second perspective is both pedagogical and future-looking: What are the major conceptual issues that have to be addressed by CSE and how can a new generation of researchers be prepared to further advance CSE? Topics include studies of expertise, cognitive work analysis, cognitive task analysis, human performance, system design, cognitive modeling, decision making, human-computer interaction, trust in automation, teamwork and ecological interface design. A thematic focus will be on systems-level analysis, and such notions as resilience engineering and systems-level measurement. The book features broad coverage of many of the domains to which CSE is being applied, among them industrial process control, health care, decision aiding and aviation human factors. The book’s contributions are provided by an extraordinary group of leaders and pathfinders in applied psychology, cognitive science, systems analysis and system design. In combination these chapters present invaluable insights, experiences and continuing uncertainties on the subject of the field of CSE, and in doing so honor the career and achievements of Professor David D. Woods of Ohio State University.

Speed in acquiring the knowledge and skills to perform tasks is crucial. Yet, it still ordinarily takes many years to achieve high proficiency in countless jobs and professions, in government, business, industry, and throughout the private sector. There would be great advantages if regimens of training could be established that could accelerate the achievement of high levels of proficiency. This book discusses the construct of ‘accelerated learning.’ It includes a review of the research literature on learning acquisition and retention, focus on establishing what works, and why. This includes several demonstrations of accelerated learning, with specific ideas, plans and roadmaps for doing so. The impetus for the book was a tasking from the Defense Science and Technology Advisory Group, which is the top level Science and Technology policy-making panel in the Department of Defense. However, the book uses both military and non-military exemplar case studies.It is likely that methods for acceleration will leverage technologies and capabilities including virtual training, cross-training, training across strategic and tactical levels, and training for resilience and adaptivity.This volume provides a wealth of information and guidance for those interested in the concept or phenomenon of "accelerating learning"— in education, training, psychology, academia in general, government, military, or industry.

Speed in acquiring the knowledge and skills to perform tasks is crucial. Yet, it still ordinarily takes many years to achieve high proficiency in countless jobs and professions, in government, business, industry, and throughout the private sector. There would be great advantages if regimens of training could be established that could accelerate the achievement of high levels of proficiency. This book discusses the construct of ‘accelerated learning.’ It includes a review of the research literature on learning acquisition and retention, focus on establishing what works, and why. This includes several demonstrations of accelerated learning, with specific ideas, plans and roadmaps for doing so. The impetus for the book was a tasking from the Defense Science and Technology Advisory Group, which is the top level Science and Technology policy-making panel in the Department of Defense. However, the book uses both military and non-military exemplar case studies.It is likely that methods for acceleration will leverage technologies and capabilities including virtual training, cross-training, training across strategic and tactical levels, and training for resilience and adaptivity.This volume provides a wealth of information and guidance for those interested in the concept or phenomenon of "accelerating learning"— in education, training, psychology, academia in general, government, military, or industry.

The focus of this book is on how experts adapt to complexity, synthesize and interpret information in context, and transform or "fuse" disparate items of information into coherent knowledge. The chapters examine these processes across experts (e.g. global leaders, individuals in extreme environments, managers, police officers, pilots, commanders, doctors, inventors), across contexts (e.g. space and space analogs, corporate organizations, command and control, crisis and crowd management, air traffic control, the operating room, product development), and for both individual and team performance. Successful information integration is a key factor in the success of diverse endeavors, including team attempts to climb Mt. Everest, crowd control in the Middle East, and remote drilling operations.This volume is divided into four sections, each with a specific focus on an area of expert performance, resulting in a text that covers a wide range of useful information. These sections present well-researched discussions, such as: the management of complex situations in various fields and decision contexts; technological and training approaches to facilitate knowledge management by individual experts and expert teams; new or neglected perspectives in expert decision making; and the importance of ‘modeling’ expert performance through techniques and frameworks such as Cognitive Task Analysis, computational architectures based on the notion of causal belief mapping such as ‘Convince Me,’ or the data/frame model of sensemaking.The volume provides essential reading for researchers and practitioners of Naturalistic Decision Making and those who study Expertise; Organizational and Cognitive Psychologists; and researchers and students in Business and Engineering.

This volume is the fruit of the 5th conference on Naturalistic Decision Making which focused on the importance of studying people who have some degree of expertise in the domain in which they make decisions. The substantive concerns pertain to how individuals and groups make decisions in professional and organizational settings, and to develop suitable methods for studying these questions rigorously.This volume appeals to practitioners in business and government, as well as academics and students who are interested in naturalistic decision making.