This volume investigates our ability to capture, and then apply, expertise. In recent years, expertise has come to be regarded as an increasingly valuable and surprisingly elusive resource. Experts, who were the sole active dispensers of certain kinds of knowledge in the days before AI, have themselves become the objects of empirical inquiry, in which their knowledge is elicited and studied -- by knowledge engineers, experimental psychologists, applied psychologists, or other experts -- involved in the development of expert systems. This book achieves a marriage between experimentalists, applied scientists, and theoreticians who deal with expertise. It envisions the benefits to society of an advanced technology for capturing and disseminating the knowledge and skills of the best corporate managers, the most seasoned pilots, and the most renowned medical diagnosticians. This book should be of interest to psychologists as well as to knowledge engineers who are "out in the trenches" developing expert systems, and anyone pondering the nature of expertise and the question of how it can be elicited and studied scientifically. The book's scope and the pivotal concepts that it elucidates and appraises, as well as the extensive categorized bibliographies it includes, make this volume a landmark in the field of expert systems and AI as well as the field of applied experimental psychology.

This volume is a festschrift dedicated to James J. Jenkins, a pioneer in many areas of experimental psychology. It has three major goals: to provide a forum for debate on current theoretical issues in cognitive psychology, to capture the "state of the art" in reviews of research methods and results, and to generate ideas for new research directions and methodologies. Contributors -- including Jenkins' former students and present colleagues -- ponder fundamental questions such as:
* How do people learn to read?
* What happens during the processes of speech perception?
* How do people acquire problem solving skills?
* How do cognitive and motor skills develop and integrate with one another?
Many chapters focus specifically on ecological and applied cognitive psychology. Specific topics covered include visual and speech perception, language, memory, motivation, child development, problem solving, and pedagogy.

Originally published in 1980, this is a book about the psychology of figurative language. It is however, eclectic and therefore should be of interest to professionals and students in education, linguistics, philosophy, sociolinguistics, and other concerned with meaning and cognition. The editors felt there was a pressing need to bring together the growing empirical efforts of this topic. In a sense, recognition of the theoretical importance of figurative language symbolized the transition from the psycholinguistics of the 1960s to that of the late 1970s, that is from a linguistic semantics to a more comprehensive psychological semantics with a healthy respect for context, inference, world knowledge, and above all creative imagination. The organization of the volume reflects the more basic, general concerns with cognition - from historical and philosophical background, through problems of mental representation and semantic theory, to developmental trends, and to applications in problem solving.

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.

No matter how advanced the technology, there is always the human factor involved - the power behind the technology. Interpreting Remote Sensing Imagery: Human Factors draws together leading psychologists, remote sensing scientists, and government and industry scientists to consider the factors involved in expertise and perceptual skill. This book covers the cognitive issues of learning, perception, and expertise, the applied issues of display design, interface design, software design, and mental workload issues, and the practitioner's issues of workstation design, human performance, and training. It tackles the intangibles of data interpretation, based on information from experts who do the job. You will learn: Information and perception What do experts perceive in remote sensing and cartographic displays? Reasoning and perception How do experts "see through" the data display to understand its meaning and significance? Human-computer interaction How do experts work with their displays and what happens when the "fiddle" with them? Learning and training What are the milestones in training development from novice to expert image interpreter? Interpreting Remote Sensing Imagery: Human Factors breaks down the mystery of what experts do when they interpret data, how they learn, and what individual factors speed or impede training. Even more importantly, it gives you the tools to train efficiently and understand how the human factor impacts data interpretation.

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.

Originally published in 1980, this is a book about the psychology of figurative language. It is however, eclectic and therefore should be of interest to professionals and students in education, linguistics, philosophy, sociolinguistics, and other concerned with meaning and cognition. The editors felt there was a pressing need to bring together the growing empirical efforts of this topic. In a sense, recognition of the theoretical importance of figurative language symbolized the transition from the psycholinguistics of the 1960s to that of the late 1970s, that is from a linguistic semantics to a more comprehensive psychological semantics with a healthy respect for context, inference, world knowledge, and above all creative imagination. The organization of the volume reflects the more basic, general concerns with cognition - from historical and philosophical background, through problems of mental representation and semantic theory, to developmental trends, and to applications in problem solving.

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.

This volume investigates our ability to capture, and then apply, expertise. In recent years, expertise has come to be regarded as an increasingly valuable and surprisingly elusive resource. Experts, who were the sole active dispensers of certain kinds of knowledge in the days before AI, have themselves become the objects of empirical inquiry, in which their knowledge is elicited and studied -- by knowledge engineers, experimental psychologists, applied psychologists, or other experts -- involved in the development of expert systems. This book achieves a marriage between experimentalists, applied scientists, and theoreticians who deal with expertise. It envisions the benefits to society of an advanced technology for capturing and disseminating the knowledge and skills of the best corporate managers, the most seasoned pilots, and the most renowned medical diagnosticians. This book should be of interest to psychologists as well as to knowledge engineers who are "out in the trenches" developing expert systems, and anyone pondering the nature of expertise and the question of how it can be elicited and studied scientifically. The book's scope and the pivotal concepts that it elucidates and appraises, as well as the extensive categorized bibliographies it includes, make this volume a landmark in the field of expert systems and AI as well as the field of applied experimental psychology.

This volume is a festschrift dedicated to James J. Jenkins, a pioneer in many areas of experimental psychology. It has three major goals: to provide a forum for debate on current theoretical issues in cognitive psychology, to capture the "state of the art" in reviews of research methods and results, and to generate ideas for new research directions and methodologies. Contributors -- including Jenkins' former students and present colleagues -- ponder fundamental questions such as:
* How do people learn to read?
* What happens during the processes of speech perception?
* How do people acquire problem solving skills?
* How do cognitive and motor skills develop and integrate with one another?
Many chapters focus specifically on ecological and applied cognitive psychology. Specific topics covered include visual and speech perception, language, memory, motivation, child development, problem solving, and pedagogy.

In this updated and expanded edition of The Cambridge Handbook of Expertise and Expert Performance, some of the world's foremost experts on expertise share their scientific knowledge of expertise and expert performance and show how experts may differ from non-experts in terms of development, training, reasoning, knowledge, and social support. The book reviews innovative methods for measuring experts' knowledge and performance in relevant tasks. Sixteen major domains of expertise are covered, including sports, music, medicine, business, writing, and drawing, with leading researchers summarizing their knowledge about the structure and acquisition of expert skills and knowledge, and discussing future prospects. General issues that cut across most domains are reviewed in chapters on various aspects of expertise, such as general and practical intelligence, differences in brain activity, self-regulated learning, deliberate practice, aging, knowledge management, and creativity.

In this updated and expanded edition of The Cambridge Handbook of Expertise and Expert Performance, some of the world's foremost experts on expertise share their scientific knowledge of expertise and expert performance and show how experts may differ from non-experts in terms of development, training, reasoning, knowledge, and social support. The book reviews innovative methods for measuring experts' knowledge and performance in relevant tasks. Sixteen major domains of expertise are covered, including sports, music, medicine, business, writing, and drawing, with leading researchers summarizing their knowledge about the structure and acquisition of expert skills and knowledge, and discussing future prospects. General issues that cut across most domains are reviewed in chapters on various aspects of expertise, such as general and practical intelligence, differences in brain activity, self-regulated learning, deliberate practice, aging, knowledge management, and creativity.

Experts, who were the sole active dispensers of certain kinds of knowledge in the days before AI, have now often assumed a rather passive role. They relay their knowledge to various novices, knowledge engineers, experimental psychologists or cognitivists - or other experts! - involved in the development and understanding of expert systems. This book achieves a perfect marriage between experimentalists and theoreticians who deal with expertise. It tries to establish the benefits to society of an advanced technology for representing and disseminating the knowledge and skills of the best corporate managers, the most seasoned pilots, and the most renowned medical diagnosticians. This book interests psychologists as well as all those out in the trenches developing expert systems, and everyone pondering the nature of expertise and the question of how it can be studied scientifically. Its scope, the pivotal concepts which it elucidates and brilliantly summarizes and appraises in the final chapter, as well as the references it includes, make this book a landmark in the field.

The expanding application of Concept Mapping includes its role in knowledge elicitation, institutional memory preservation, and ideation. With the advent of the CmapTools knowledge modeling software kit, Concept Mapping is being applied with increased frequency and success to address a variety of problems in the workplace. Supported by business application case studies, Applied Concept Mapping: Capturing, Analyzing, and Organizing Knowledge offers an accessible introduction to the theory, methods, and application of Concept Mapping in business and government. The case studies illustrate applications across a range of industries--including engineering, product development, defense, and healthcare. The authors provide access to a free download of CmapTools, courtesy of the Institute for Human and Machine Cognition, to enable readers to create and share their own Concept Maps. Offering examples from the United States, Canada, Australia, Spain, Brazil, Scotland, and The Netherlands, they highlight a global perspective of this dynamic tool. The text is organized into three sections: 1. Practitioners' Views--supplies narratives, guidance, and reviews of applications from career Concept Mappers 2. Recent Case Studies and Results--presents in-depth examinations of specific applications and their results 3. Pushing the Boundaries--explores what's possible and where the boundary conditions lie Applied Concept Mapping facilitates the fundamental understanding needed to harness the power of Concept Mapping to develop viable solutions to a virtually unlimited number of real-world problems.

Human factors play a critical role in the design and interpretation of remotely sensed imagery for all Earth sciences. Remote Sensing and Cognition: Human Factors in Image Interpretation brings together current topics widely recognized and addressed regarding human cognition in geographic imagery, especially remote sensing imagery with complex data. It addresses themes around expertise including methods for knowledge elicitation and modeling of expertise, the effects of different aspects of realism on the interpretation of the environment, spatial learning using imagery, the effect of visual perspective on interpretation, and a variety of technologies and methods for utilizing knowledge in the analysis of remote sensing imagery. Written by leaders in the field, this book provides answers to the host of questions raised at the nexus of psychology and remote sensing. Academics and researchers with an interest in the human issues surrounding the use of remote sensing data will find this book to be an invaluable resource. The topics covered in this book are useful for both the scientific analysis of remote sensing imagery as well as the design and display of remote sensing imagery to facilitate a variety of other tasks including education and wayfinding. Features Brings together remote sensing, environmental, and computer scientists discussing their work from a psychological or human factors perspective Answers questions related to aesthetics of scientific visualization and mathematical analysis of perceptible objects Explains the perception and interpretation of realistic representations Provides illustrative real-world examples Shows how the features of display symbols, elements, and patterns have clear effects on processes of perception and visual search

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.

Human factors play a critical role in the design and interpretation of remotely sensed imagery for all Earth sciences. Remote Sensing and Cognition: Human Factors in Image Interpretation brings together current topics widely recognized and addressed regarding human cognition in geographic imagery, especially remote sensing imagery with complex data. It addresses themes around expertise including methods for knowledge elicitation and modeling of expertise, the effects of different aspects of realism on the interpretation of the environment, spatial learning using imagery, the effect of visual perspective on interpretation, and a variety of technologies and methods for utilizing knowledge in the analysis of remote sensing imagery. Written by leaders in the field, this book provides answers to the host of questions raised at the nexus of psychology and remote sensing. Academics and researchers with an interest in the human issues surrounding the use of remote sensing data will find this book to be an invaluable resource. The topics covered in this book are useful for both the scientific analysis of remote sensing imagery as well as the design and display of remote sensing imagery to facilitate a variety of other tasks including education and wayfinding. Features Brings together remote sensing, environmental, and computer scientists discussing their work from a psychological or human factors perspective Answers questions related to aesthetics of scientific visualization and mathematical analysis of perceptible objects Explains the perception and interpretation of realistic representations Provides illustrative real-world examples Shows how the features of display symbols, elements, and patterns have clear effects on processes of perception and visual search

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.

The Cambridge Handbook of Applied Perception Research covers core areas of research in perception with an emphasis on its application to real-world environments. Topics include multisensory processing of information, time perception, sustained attention, and signal detection, as well as pedagogical issues surrounding the training of applied perception researchers. In addition to familiar topics, such as perceptual learning, the Handbook focuses on emerging areas of importance, such as human-robot coordination, haptic interfaces, and issues facing societies in the twenty-first century (such as terrorism and threat detection, medical errors, and the broader implications of automation). Organized into sections representing major areas of theoretical and practical importance for the application of perception psychology to human performance and the design and operation of human-technology interdependence, it also addresses the challenges to basic research, including the problem of quantifying information, defining cognitive resources, and theoretical advances in the nature of attention and perceptual processes.