The heuristic version of Cognitive Work Analysis: A first application to medical emergency situations.

Cognitive Work Analysis is an original method that seeks to describe work systems made up of nested sets of constraints, from ecological constraints imposed by the work domain to cognitive constraints. This top-down approach starts with a work domain model in order to analyze and specify contexts of activity. To complement this method, we propose a bottom-up version of Cognitive Work Analysis focusing on contexts of activity and depicting how operators adapt to the ecological constraints. Based on Rasmussen's Dynamic Safety Model, the ecological constraints involved are those bounding the workspace in which operators dynamically navigate with control loops, strategies, work organization, and competencies. This analysis relies on the simulation of specific contexts of activity. A first illustrative application of this framework to a simulated medical emergency situation with a team of nurses and nursing aids shows that this framework can help identify design issues.

[1]  Esther Thelen,et al.  Dynamic Systems Theories , 2007 .

[2]  Pierre Jannin,et al.  Decision Making During Preoperative Surgical Planning , 2009, Hum. Factors.

[3]  Stephen J. Guastello,et al.  Chaos, Catastrophe, and Human Affairs: Applications of Nonlinear Dynamics To Work, Organizations, and Social Evolution , 1995 .

[4]  Tetsuo Sawaragi,et al.  Visualization of Control Structure in Human-Automation System Based on Cognitive Work Analysis , 2013, IFAC HMS.

[5]  Penelope M. Sanderson Cognitive work analysis and the analysis, design, and evaluation of human-computer interactive systems , 1998, Proceedings 1998 Australasian Computer Human Interaction Conference. OzCHI'98 (Cat. No.98EX234).

[6]  Tiffany N. Saffell,et al.  Engineering Representations to Support Evidence-based Clinical Practice , 2017 .

[7]  René Amalberti,et al.  Cognitive Modelling of Fighter Aircraft Process Control: A Step Towards an Intelligent On-Board Assistance System , 1992, Int. J. Man Mach. Stud..

[8]  Neelam Naikar,et al.  A Consideration of Design Approaches Based on Cognitive Work Analysis: System Design and Integrated System Design , 2016, ECCE.

[9]  N. Naikar,et al.  Analysing activity in complex systems with cognitive work analysis: concepts, guidelines and case study for control task analysis , 2006 .

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

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

[12]  John M. Flach,et al.  Integrated Constraint Evaluation: A Framework for Continuous Work Analysis , 2008 .

[13]  Anne Miller,et al.  Multi-level strategies to achieve resilience for an organisation operating at capacity: a case study at a trauma centre , 2007, Cognition, Technology & Work.

[14]  Ann M. Bisantz,et al.  Cognitive Work Analysis , 2013 .

[15]  Anne Miller,et al.  A work domain analysis framework for modelling intensive care unit patients , 2004, Cognition, Technology & Work.

[16]  John D. Lee,et al.  The Oxford Handbook of Cognitive Engineering , 2013 .

[17]  Endre E. Kadar,et al.  Toward an Ecological Field Theory of Perceptual Control of Locomotion , 2000 .

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

[19]  Max Mulder,et al.  Theoretical Foundations for a Total Energy-Based Perspective Flight-Path Display , 2005 .

[20]  C. Burns,et al.  Supporting the Strategies of Cardiac Nurse Coordinators Using Cognitive Work Analysis , 2006 .

[21]  M. Lenné,et al.  A structured approach to the strategies analysis phase of cognitive work analysis , 2013 .

[22]  J. Flach,et al.  Playing twenty questions with nature (the surprise version): reflections on the dynamics of experience , 2008 .

[23]  Nancy J. Cooke,et al.  Team coordination dynamics. , 2010, Nonlinear dynamics, psychology, and life sciences.

[24]  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.

[25]  Neville A Stanton,et al.  Getting past first base: Going all the way with Cognitive Work Analysis. , 2011, Applied ergonomics.

[26]  Kim J. Vicente,et al.  Coping with Human Errors through System Design: Implications for Ecological Interface Design , 1989, Int. J. Man Mach. Stud..

[27]  John M. Flach,et al.  Complexity: learning to muddle through , 2011, Cognition, Technology & Work.

[28]  Neelam Naikar,et al.  Integrated System Design: Promoting the Capacity of Sociotechnical Systems for Adaptation through Extensions of Cognitive Work Analysis , 2016, Front. Psychol..

[29]  M. Stadler,et al.  The Cognitive Organisation of Human Errors: A Gestalt Theory Perspective , 1994 .

[30]  J. Gibson,et al.  A theoretical field-analysis of automobile-driving , 1938 .

[31]  S. Guastello Nonlinear dynamical systems for theory and research in ergonomics , 2017, Ergonomics.

[32]  P. Todd,et al.  Simple Heuristics That Make Us Smart , 1999 .

[33]  Kathryn M. Kellogg,et al.  Decisionmaking in practice: The dynamics of muddling through. , 2017, Applied ergonomics.

[34]  M. Mulder,et al.  The Concept of the ‘Situation” in Psychology , 2004 .

[35]  Christopher D. Wickens,et al.  Proximity Compatibility and Information Display: Effects of Color, Space, and Objectness on Information Integration , 1990 .

[36]  K. Lewin,et al.  A Dynamic Theory of Personality - Selected Papers , 2008 .

[37]  K. J. Vicente,et al.  Cognitive Work Analysis: Toward Safe, Productive, and Healthy Computer-Based Work , 1999 .

[38]  J. Flach,et al.  An extended version of the Rasmussen’s Dynamic Safety Model for measuring multitasking behaviors during medical emergency , 2017 .

[39]  Sidney Dekker,et al.  Anticipating the effects of technological change: A new era of dynamics for human factors , 2000 .

[40]  John M. Flach,et al.  What Matters?: Putting common sense to work , 2017 .

[41]  Jens Rasmussen,et al.  Risk management in a dynamic society: a modelling problem , 1997 .