Expert decision making

The purpose of this paper is to outline the key aspects of how experts make decisions. The central theme of the paper is that decision making in dynamic settings is perceptual rather than conceptual. In high stress, time-pressured, high stakes, or uncertain environments, the decision maker rapidly assesses the situation and implements a workable course of action. This is referred to as a recognitional approach to decision making. This is in contrast to the view that decision makers gather all the available information, conduct exhaustive, concurrent analysis of the available options, and then choose the optimum solution. This analytical approach also suggests that the reasons for nonoptimal decisions are based on human biases and heuristics. These lines of decision-making research have implications for both the design of, and training for, complex systems. The purpose of this paper is to provide an overview of the pertinent literature and to serve as a resource for further exploration into the implications for decision aiding, decision support, and complex system design. © 1999 John Wiley & Sons, Inc. Syst Eng 2: 32–45, 1999

[1]  Jim McLennan,et al.  The Role of Prepriming in Recognition-Primed Decisionmaking , 1996 .

[2]  Hylton Boothroyd Image Theory: Decision Making in Personal and Organizational Contexts. , 1990 .

[3]  W. Edwards The theory of decision making. , 1954, Psychological bulletin.

[4]  D. Berkeley,et al.  Structuring decision problems and the ‘bias heuristic’ , 1982 .

[5]  Michelene T. H. Chi,et al.  How Inferences about Novel Domain-Related Concepts Can Be Constrained by Structured Knowledge. , 1989 .

[6]  Jens Rasmussen,et al.  Information Processing and Human-Machine Interaction: An Approach to Cognitive Engineering , 1986 .

[7]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[8]  Andrew P. Sage,et al.  Behavioral and Organizational Considerations in the Design of Information Systems and Processes for Planning and Decision Support , 1981, IEEE Transactions on Systems, Man, and Cybernetics.

[9]  O. Svenson Process descriptions of decision making. , 1979 .

[10]  N. Charness,et al.  Expert Performance Its Structure and Acquisition , 2002 .

[11]  K J Vicente,et al.  An ecological theory of expertise effects in memory recall. , 1998, Psychological review.

[12]  Gary Klein,et al.  Time Pressure, Skill, and Move Quality in Chess , 1988 .

[13]  James Shanteau,et al.  Psychological characteristics of expert decision makers , 1987 .

[14]  J. Shanteau COGNITIVE HEURISTICS AND BIASES IN BEHAVIORAL AUDITING: REVIEW, COMMENTS AND OBSERVATIONS , 1989 .

[15]  Paul J. Feltovich,et al.  Categorization and Representation of Physics Problems by Experts and Novices , 1981, Cogn. Sci..

[16]  Ola Svenson,et al.  Time pressure and stress in human judgment and decision making , 1993 .

[17]  Jens Rasmussen,et al.  Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[18]  R. Glaser The Reemergence of Learning Theory within Instructional Research. , 1990 .

[19]  J. Neumann,et al.  Theory of games and economic behavior , 1945, 100 Years of Math Milestones.

[20]  R. Hogarth,et al.  BEHAVIORAL DECISION THEORY: PROCESSES OF JUDGMENT AND CHOICE , 1981 .

[21]  J. Klayman,et al.  Confirmation, Disconfirmation, and Informa-tion in Hypothesis Testing , 1987 .

[22]  Lola L. Lopes The Rhetoric of Irrationality , 1991 .

[23]  Mica R. Endsley,et al.  Measurement of Situation Awareness in Dynamic Systems , 1995, Hum. Factors.

[24]  Jens Rasmussen,et al.  Cognitive Systems Engineering , 2022 .

[25]  W. Chase Spatial Representations of Taxi Drivers , 1983 .

[26]  J. Gibson The Senses Considered As Perceptual Systems , 1967 .

[27]  Hubert L. Dreyfus,et al.  What computers still can't do - a critique of artificial reason , 1992 .

[28]  Dorothea P. Simon,et al.  Expert and Novice Performance in Solving Physics Problems , 1980, Science.

[29]  Michael J. Prietula,et al.  Expertise and error in diagnostic reasoning , 1981 .