Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents: Part 5: Dynamic probabilistic simulation of the IDAC model

This is the last in a series of five papers that discuss the Information Decision and Action in Crew (IDAC) context for human reliability analysis (HRA) and example application. The model is developed to probabilistically predict the responses of the control room operating crew in nuclear power plants during an accident, for use in probabilistic risk assessments (PRA). The operator response spectrum includes cognitive, emotional, and physical activities during the course of an accident. This paper describes a dynamic PRA computer simulation program, accident dynamics simulator (ADS), developed in part to implement the IDAC model. This paper also provides a detailed example of implementing a simpler version of IDAC, compared with the IDAC model discussed in the first four papers of this series, to demonstrate the practicality of integrating a detailed cognitive HRA model within a dynamic PRA framework.

[1]  Jens Rasmussen,et al.  The role of error in organizing behaviour* , 1990 .

[2]  A. John Maule,et al.  The effects of time pressure on human judgement and decision making , 1997 .

[3]  Finn V. Jensen,et al.  Bayesian Networks and Decision Graphs , 2001, Statistics for Engineering and Information Science.

[4]  A. Mosleh,et al.  Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents: Part 3: IDAC operator response model , 2007, Reliab. Eng. Syst. Saf..

[5]  Benjamin Kleinmuntz,et al.  Problem solving : research, method and theory , 1967 .

[6]  L. Pessoa,et al.  Finding out about filling-in: a guide to perceptual completion for visual science and the philosophy of perception. , 1998, The Behavioral and brain sciences.

[7]  Morton Wagman Problem-Solving Processes in Humans and Computers: Theory and Research in Psychology and Artificial Intelligence , 2001 .

[8]  Allen Allport,et al.  Visual attention , 1989 .

[9]  Morten Lind,et al.  Modeling goals and functions of complex industrial plants , 1994, Appl. Artif. Intell..

[10]  Kevin M. Corker,et al.  A Cognitive System Model for Human/Automation Dynamics in Airspace Management , 1997 .

[11]  D. Damos Multiple-task performance , 2020 .

[12]  D E Kieras,et al.  A computational theory of executive cognitive processes and multiple-task performance: Part 1. Basic mechanisms. , 1997, Psychological review.

[13]  E. Tulving,et al.  Organization of memory. , 1973 .

[14]  Robin Jeffries,et al.  The Processes Involved in Designing Software. , 1980 .

[15]  John E. Laird,et al.  Symbolic architectures for cognition , 1989 .

[16]  Erik Hollnagel,et al.  Human Reliability Analysis: Context and Control , 1994 .

[17]  Michiyuki Kobayashi,et al.  GO-FLOW: A New Reliability Analysis Methodology , 1988 .

[18]  William B. Rouse,et al.  Human-Computer Interaction in the Control of Dynamic Systems , 1981, CSUR.

[19]  Ali Mosleh,et al.  Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents. Part 4: IDAC causal model of operator problem-solving response , 2007, Reliab. Eng. Syst. Saf..

[20]  N. O. Siu,et al.  Dynamic event tree analysis method (DETAM) for accident sequence analysis , 1991 .

[21]  M. Llory,et al.  Operator's knowledge, skill and know-how during the use of emergency procedures: design, training and cultural aspects , 1992, Conference Record for 1992 Fifth Conference on Human Factors and Power Plants.

[22]  O. Sträter,et al.  Human-centered modeling in human reliability analysis: some trends based on case studies , 1997 .

[23]  R. L. Brune,et al.  Peer-review study of the draft handbook for human-reliability analysis with emphasis on nuclear-power-plant applications, NUREG/CR-1278 , 1983 .

[24]  Erik Hollnagel,et al.  Cognitive reliability and error analysis method : CREAM , 1998 .

[25]  S. Sloman,et al.  Similarity as an explanatory construct , 1998, Cognition.

[26]  Carol Smidts,et al.  The Event Sequence Diagram framework for dynamic Probabilistic Risk Assessment , 1999 .

[27]  Ali Mosleh,et al.  A methodology for collection and analysis of human error data based on a cognitive model: IDA , 1997 .

[28]  Alan D. Baddeley,et al.  Episodic Memory: New Directions in Research , 2002 .

[29]  C R Paris,et al.  Teamwork in multi-person systems: a review and analysis , 2000, Ergonomics.

[30]  J E Lisman,et al.  Storage of 7 +/- 2 short-term memories in oscillatory subcycles , 1995, Science.

[31]  Robert B. Whittingham,et al.  The Blame Machine: Why Human Error Causes Accidents , 2004 .

[32]  Carol Smidts,et al.  The IDA cognitive model for the analysis of nuclear power plant operator response under accident conditions. Part I: problem solving and decision making model , 1997 .

[33]  Robert G. Crowder,et al.  Short-term memory: Where do we stand? , 1993, Memory & cognition.

[34]  Egon Hansen Emotional processes : engendered by poetry and prose reading , 1986 .

[35]  H. Simon,et al.  The mind's eye in chess. , 1973 .

[36]  R. Sternberg,et al.  Complex Problem Solving : Principles and Mechanisms , 1992 .

[37]  Ali Mosleh,et al.  Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents: Part 1: Overview of the IDAC Model , 2007, Reliab. Eng. Syst. Saf..

[38]  G. Robert J. Hockey,et al.  State, Stress, and Time Pressure , 1993 .

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

[40]  J. Reason,et al.  Modelling the basic error tendencies of human operators , 1988 .

[41]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[42]  Gary Klein,et al.  Decision Making in Complex Naval Command-and-Control Environments , 1996, Hum. Factors.

[43]  Allen Newell,et al.  Human Problem Solving. , 1973 .

[44]  Donald A. Norman,et al.  Models Of Human Memory , 1970 .

[45]  M. Smyth,et al.  Space and Movement in Working Memory , 1990, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[46]  J. G. Hollands,et al.  Engineering Psychology and Human Performance , 1984 .

[47]  N. Cowan The magical number 4 in short-term memory: A reconsideration of mental storage capacity , 2001, Behavioral and Brain Sciences.

[48]  S. Folkman,et al.  Stress, appraisal, and coping , 1974 .

[49]  E. Salas,et al.  Reflections on shared cognition , 2001 .

[50]  Raja Parasuraman,et al.  Varieties of attention , 1984 .

[51]  E. Tulving,et al.  Episodic and semantic memory , 1972 .

[52]  B Kirwan,et al.  Human error identification techniques for risk assessment of high risk systems--Part 1: Review and evaluation of techniques. , 1998, Applied ergonomics.

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

[54]  P. Carpenter,et al.  Individual differences in working memory and reading , 1980 .

[55]  James T. Reason,et al.  Managing the risks of organizational accidents , 1997 .

[56]  M. Posner Foundations of cognitive science , 1989 .

[57]  A. Baddeley The concept of episodic memory. , 2001, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[58]  Eduardo Salas,et al.  Team Performance Assessment and Measurement: Theory, Methods, and Applications. Series in Applied Psychology. , 1997 .

[59]  Daniel Kahneman,et al.  Availability: A heuristic for judging frequency and probability , 1973 .

[60]  G Gigerenzer,et al.  Reasoning the fast and frugal way: models of bounded rationality. , 1996, Psychological review.

[61]  G. R. J. Hockey Compensatory control in the regulation of human performance under stress and high workload: A cognitive-energetical framework , 1997, Biological Psychology.

[62]  N. Cowan,et al.  The role of attention in the development of short-term memory: age differences in the verbal span of apprehension. , 1999, Child development.

[63]  S. Sloman,et al.  Similarity and symbols in human thinking , 1998 .

[64]  Erik Hollnagel Looking for errors of omission and commission or The Hunting of the Snark revisited , 2000, Reliab. Eng. Syst. Saf..

[65]  S. Phillips,et al.  Processing capacity defined by relational complexity: implications for comparative, developmental, and cognitive psychology. , 1998, The Behavioral and brain sciences.

[66]  Andrew Hale,et al.  Safety Management: The Challenge of Change , 2000 .

[67]  Ali Mosleh,et al.  The development and application of the accident dynamic simulator for dynamic probabilistic risk assessment of nuclear power plants , 1996 .

[68]  Carolyn Prince,et al.  An Overview of Team Performance Measurement , 1997 .

[69]  Ali Mosleh,et al.  Model-based human reliability analysis: prospects and requirements , 2004, Reliab. Eng. Syst. Saf..

[70]  William B. Rouse,et al.  A Queueing Model of Pilot Decisionmaking in a Multitask Flight Management Situation , 1978, IEEE Transactions on Systems, Man, and Cybernetics.

[71]  Ali Mosleh,et al.  Cognitive modeling and dynamic probabilistic simulation of operating crew response to complex system accidents. Part 2: IDAC performance influencing factors model , 2007, Reliab. Eng. Syst. Saf..

[72]  A. Baddeley Recent developments in working memory , 1998, Current Opinion in Neurobiology.

[73]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[74]  Borut Mavko,et al.  A dynamic fault tree , 2002, Reliab. Eng. Syst. Saf..

[75]  A. Amendola Accident Sequence Dynamic Simulation Versus Event Trees , 1988 .

[76]  Françoise Decortis Operator strategies in a dynamic environment in relation to an operator model , 1993 .

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

[78]  Jürgen S. Sauer,et al.  Effects of Sleep Deprivation and User Interface on Complex Performance: A Multilevel Analysis of Compensatory Control , 1998, Hum. Factors.