About: Cognitive work analysis is a research topic. Over the lifetime, 512 publications have been published within this topic receiving 14896 citations.
TL;DR: In this article, an approach to computer-based work in complex sociotechnical systems developed over the last 30 years by Jens Rasmussen and his colleagues at Riso National Laboratory in Roskilde, Denmark is described.
Abstract: This book describes, for the first time in pedagogical form, an approach to computer-based work in complex sociotechnical systems developed over the last 30 years by Jens Rasmussen and his colleagues at Riso National Laboratory in Roskilde, Denmark. This approach is represented by a framework called cognitive work analysis. Its goal is to help designers of complex sociotechnical systems create computer-based information support that helps workers adapt to the unexpected and changing demands of their jobs. In short, cognitive work analysis is about designing for adaptation. The book is divided into four parts. Part I provides a motivation by introducing three themes that tie the book together--safety, productivity, and worker health. The ecological approach that serves as the conceptual basis behind the book is also described. In addition, a glossary of terms is provided. Part II situates the ideas in the book in a broader intellectual context by reviewing alternative approaches to work analysis. The limitations of normative and descriptive approaches are outlined, and the rationale behind the formative approach advocated in this book is explored. Part III describes the concepts that comprise the cognitive work analysis framework in detail. Each concept is illustrated by a case study, and the implications of the framework for design and research are illustrated by example. Part IV unifies the themes of safety, productivity, and health, and shows why the need for the concepts in this book will only increase in the future. In addition, a historical addendum briefly describes the origins of the ideas described in the book.
TL;DR: Part I: Cognitive Work Analysis in Action; Designing for Adaptation: Safety, Productivity, and Health and the Global Knowledge-Based Economy; and Part II: Three Approaches to Work Analysis.
Abstract: Contents: J. Rasmussen, Foreword. Preface. Part I: Introduction. What's in a Word? (Glossary). What's the Problem? Scope and Criteria for Success. Why Work Analysis? An Ecological Perspective. Part II: Three Approaches to Work Analysis. Normative Approaches to Work Analysis: "The One Best Way?" Descriptive Approaches to Work Analysis: "What Workers Really Do." Toward a Formative Approach to Work Analysis: "Workers Finish the Design." Part III: Cognitive Work Analysis in Action. Case Study: Process Control. Phase 1: Work Domain Analysis. Phase 2: Control Tasks Analysis. Phase 3: Strategies Analysis. Phase 4: Social Organization and Cooperation Analysis. Phase 5: Worker Competencies Analysis. Implications for Design and Research. Part IV: Final Words. Designing for Adaptation: Safety, Productivity, and Health and the Global Knowledge-Based Economy. Appendix: Historical Addendum.
TL;DR: A theoretical framework for designing interfaces for complex human-machine systems, based on the skills, rules, and knowledge taxonomy of cognitive control, is proposed, and three prescriptive design principles are suggested to achieve this objective.
Abstract: A theoretical framework for designing interfaces for complex human-machine systems is proposed. The framework, called ecological interface design (EID), is based on the skills, rules, and knowledge taxonomy of cognitive control. The basic goals of EID are not to force processing to a higher level than the demands of the task require, and to support each of the three levels of cognitive control. Thus, an EID interface should not contribute to the difficulty of the task, and at the same time, it should support the entire range of activities that operators will be faced with. Three prescriptive design principles are suggested to achieve this objective, each directed at supporting a particular level of cognitive control. Particular attention is paid to presenting a coherent deductive argument justifying the principles of EID. Support for the EID framework is discussed. Some issues for future research are outlined. >
TL;DR: This book discusses how to develop a Work Domain Model for EID and some of the techniques used to develop such a model include:.
Abstract: Introduction and Overview Scope of this Book Types of Design Problems The Ecological Part of EID Outline Motivation for EID History Work Domain Analysis Defining the System of Interest What Is an Abstraction Hierarchy? Level by Level, Working through an Abstraction Hierarchy Part-Whole Hierarchies Models with Social Constraints Techniques for Managing Large Models Models of Multiple Domains Testing Your Model for Completeness Summary: Double-Checking Your Work Domain Model - Rules to Use as You Actually Build It The Language of Interface Design Interface Description Forms of Reference A Visual Thesaurus for Data Relationships How to Develop a New Visual Form Summary: Visual Thesaurus Review Sheet Using a Work Domain Model in Design Information Requirements Information Availability Analysis: What to Do if You Can't Measure It Using Information Requirements in Design Example Design Process Functional Information Profiles: Working with Existing Designs Summary: From Information and Constraints to Design Transportation Systems Challenges with Transportation Systems Analysis for Command and Control of a Frigate Analysis for Command and Control of a Destroyer A Display for an Aircraft A Display for Balancing Fuel in an Aircraft Handling the Challenges Process Control Systems Challenges with Process Control Systems Design for Thermal Power Generation System Design for a Nuclear Power Simulation Design for a Pasteurizer Design for an Acetylene Hydrogenation Reactor Design for a Large Refinery Handling the Challenges Telecommunications Systems Challenges with Telecommunications Systems Analysis for Network Management An Alternative Design: Design for Scalability Analysis for Radio Communications Handling the Challenges Medical Systems Challenges Design for Oxygenation Monitoring in the Neonatal Intensive Care Unit Patient Monitoring in the Operating Room Analysis for Diabetes Management Handling the Challenges Social Systems Challenges Casino Gambling Handling the Challenges Using EID with Other Methods A Design Framework: Defining Opportunities to Use EID with Other Methods EID and Other Methods Summary Conclusion References Index