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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.
Contents: Series Editor's Preface. Preface. Part I: About Naturalistic Decision Making. C.E. Zsambok, Naturalistic Decision Making; Where Are We Now? H.L. Dreyfus, Intuitive, Deliberative, and Calculative Models of Expert Performance. L.R. Beach, M. Chi, G. Klein, P. Smith, K. Vicente, Naturalistic Decision Making and Related Research Lines. W.C. Howell, Progress, Prospects, and Problems in NDM: A Global View. Part II: Applications of NDM Research: Perspectives From Panels of Applied Researchers. G. Klein, An Overview of Naturalistic Decision Making Applications. M.S. Bogner, Naturalistic Decision Making in Health Care. M. Drillings, D. Serfaty, Naturalistic Decision Making in Command and Control. G.L. Kaempf, J. Orasanu, Current and Future Applications of Naturalistic Decision Making in Aviation. N. Schmitt, Naturalistic Decision Making in Business and Industrial Organizations. J.A. Cannon-Bowers, H.H. Bell, Training Decision Makers or Complex Environments: Implications of the Naturalistic Decision Making Perspective. C.E. Zsambok, Naturalistic Decision Making Research and Improving Team Decision Making. E.M. Roth, Analyzing Decision Making in Process Control: Multidisciplinary Approaches to Understanding and Aiding Human Performance in Complex Tasks. S.E. Gordon, R.T. Gill, Cognitive Task Analysis. T.E. Miller, D.D. Woods, Key Issues for Naturalistic Decision Making Researchers in Systems Design. R. Lipshitz, Naturalistic Decision Making Perspectives on Decision Errors. Part III: Research Reports. L. Di Bello, Exploring the Relationship Between Activity and Expertise: Paradigm Shifts and Decision Defaults Among Workers Learning Material Requirements Planning. E.M. Roth, Analysis of Decision Making in Nuclear Power Plant Emergencies: An Investigation of Aided Decision Making. A.F. Stokes, K. Kemper, K. Kite, Aeronautical Decision Making, Cue Recognition, and Expertise Under Time Pressure. Y. Xiao, P. Milgram, D.J. Doyle, Capturing and Modeling Planning Expertise in Anesthesiology: Results of a Field Study. S.G. Hutchins, Decision-Making Errors Demonstrated by Experienced Naval Officers in a Littoral Environment. R. Pascual, S. Henderson, Evidence of Naturalistic Decision Making in Military Command and Control. J.M. Schraagen, Discovering Requirements for a Naval Damage Control Decision Support System. D. Serfaty, J. MacMillan, E.E. Entin, E.B. Entin, The Decision Making Expertise of Battle Commanders. W.L. Waag, H.H. Bell, Situation Assessment and Decision Making in Skilled Fighter Pilots. Part IV: Methodological and Theoretical Considerations. M.S. Cohen, J.T. Freeman, B.B. Thompson, Training the Naturalistic Decision Maker. M.R. Endsley, The Role of Situation Awareness in Naturalistic Decision Making. G. Klein, The Recognition-Primed Decision (RPD) Model: Looking Back, Looking Forward. R. Lipshitz, O.B. Shaul, Schemata and Mental Models in Recognition-Primed Decision Making. C.M. Mitchell, J.G. Morris, J.J. Ockerman, W.J. Potter, Recognition-Primed Decision Making as a Technique to Support Reuse in Software Design. K.L. Mosier, Myths of Expert Decision Making and Automated Decision Aids. D.E. Smith, S. Marshall, Applying Hybrid Models of Cognition in Decision Aids. J. Orasanu, U. Fischer, Finding Decisions in Natural Environments: A View From the Cockpit. E. Salas, J.A. Cannon-Bowers, J.H. Johnston, How Can You Turn A Team of Experts Into an Expert Team?: Emerging Training Strategies. G.F. Smith, Managerial Problem Solving: A Problem-Centered Approach. Part V: Naturalistic Decision Making: Where Are We Going? G. Klein, Naturalistic Decision Making: Where Are We Going?