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"The objective of this study was to examine the way in which decisions are made by highly proficient personnel, under conditions of extreme time pressure, and where the consequences of the decisions could affect lives and property. The domain of firefighting was selected, and the search focused on the decisions made by Fire Ground Commanders (FGCs) who are responsible for allocating personnel and resources at the scene of a fire. The method used included aspects of critical incident and protocol analysis paradigms. Interviews were conducted with 26 experienced fire fighters (mean amount of experience = 23 years). Each interview covered a critical incident that was non-routine and demanded expertise. In this way, the FGCs handled decision points without any need to consider more than one option. A Recognition Primed Decision (RPD) model was synthesized from these data, which emphasized the use of recognition rather than calculation or analysis for rapid decision making. (sdw)" -- Abstract.
"The objective of this study was to examine the way in which decisions are made by highly proficient personnel, under conditions of extreme time pressure, and where the consequences of the decisions could affect lives and property. The domain of firefighting was selected, and the search focused on the decisions made by Fire Ground Commanders (FGCs) who are responsible for allocating personnel and resources at the scene of a fire. The method used included aspects of critical incident and protocol analysis paradigms. Interviews were conducted with 26 experienced fire fighters (mean amount of experience = 23 years). Each interview covered a critical incident that was non-routine and demanded expertise. In this way, the FGCs handled decision points without any need to consider more than one option. A Recognition Primed Decision (RPD) model was synthesized from these data, which emphasized the use of recognition rather than calculation or analysis for rapid decision making. (sdw)" -- Abstract.
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.
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 Oxford Handbook of Expertise provides a comprehensive picture of the field of Expertise Studies. It offers both traditional and contemporary perspectives, and importantly, a multidiscipline-multimethod view of the science and engineering research on expertise.
IIE/Joint Publishers Book of the Year Award 2016! Awarded for ‘an outstanding published book that focuses on a facet of industrial engineering, improves education, or furthers the profession’. Engineering Decision Making and Risk Management emphasizes practical issues and examples of decision making with applications in engineering design and management Featuring a blend of theoretical and analytical aspects, this book presents multiple perspectives on decision making to better understand and improve risk management processes and decision-making systems. Engineering Decision Making and Risk Management uniquely presents and discusses three perspectives on decision making: problem solving, the decision-making process, and decision-making systems. The author highlights formal techniques for group decision making and game theory and includes numerical examples to compare and contrast different quantitative techniques. The importance of initially selecting the most appropriate decision-making process is emphasized through practical examples and applications that illustrate a variety of useful processes. Presenting an approach for modeling and improving decision-making systems, Engineering Decision Making and Risk Management also features: Theoretically sound and practical tools for decision making under uncertainty, multi-criteria decision making, group decision making, the value of information, and risk management Practical examples from both historical and current events that illustrate both good and bad decision making and risk management processes End-of-chapter exercises for readers to apply specific learning objectives and practice relevant skills A supplementary website with instructional support material, including worked solutions to the exercises, lesson plans, in-class activities, slides, and spreadsheets An excellent textbook for upper-undergraduate and graduate students, Engineering Decision Making and Risk Management is appropriate for courses on decision analysis, decision making, and risk management within the fields of engineering design, operations research, business and management science, and industrial and systems engineering. The book is also an ideal reference for academics and practitioners in business and management science, operations research, engineering design, systems engineering, applied mathematics, and statistics.
In our high technology society, there is a growing demand for a better understanding of decision making in high risk situations in order to improve selection, training and operational performance. Decision Making Under Stress presents a state-of-the-art review of psychological theory, in research and practice, on decision making in high pressure and emergency situations. It focuses on the experienced decision makers who deal with such risks, principally on flight decks, at civil emergencies, in industrial settings and military environments. The 29 chapters cover a wide range of perspectives and applications from aviation, military, industry and the emergency services. The authors, all international invited experts in their field, are based in research centers and universities from Europe, North America and Australia. Their common interest is in the theories and methods of a new research domain called NDM (naturalistic decision making). This volume comprises the edited contributions to the Third International NDM conference, sponsored by the US Army Research Institute and the US Naval Air Warfare Center, which was held in Aberdeen, Scotland in September 1996. The NDM researchers are interested in decision making in situations characterised by high risk, time pressure, uncertain goals, ambiguous information and teamwork. The extent to which the NDM approach can explain and predict human performance in such settings is a central theme, discussed with many practical examples and applications. This book is essential reading for applied psychologists, pilots, emergency commanders, military officers, high hazard managers, safety and emergency response professionals.