Literature DB >> 11543350

Cognitive systems engineering: new wine in new bottles.

E Hollnagel1, D D Woods.   

Abstract

This paper presents an approach to the description and analysis of complex Man-Machine Systems (MMSs) called Cognitive Systems Engineering (CSE). In contrast to traditional approaches to the study of man-machine systems which mainly operate on the physical and physiological level, CSE operates on the level of cognitive functions. Instead of viewing an MMS as decomposable by mechanistic principles, CSE introduces the concept of a cognitive system: an adaptive system which functions using knowledge about itself and the environment in the planning and modification of actions. Operators are generally acknowledged to use a model of the system (machine) with which they work. Similarly, the machine has an image of the operator. The designer of an MMS must recognize this, and strive to obtain a match between the machine's image and the user characteristics on a cognitive level, rather than just on the level of physical functions. This article gives a presentation of what cognitive systems are, and of how CSE can contribute to the design of an MMS, from cognitive task analysis to final evaluation.

Entities:  

Mesh:

Year:  1999        PMID: 11543350     DOI: 10.1006/ijhc.1982.0313

Source DB:  PubMed          Journal:  Int J Hum Comput Stud        ISSN: 1071-5819            Impact factor:   3.632


  10 in total

Review 1.  Causes and prevention of laparoscopic bile duct injuries: analysis of 252 cases from a human factors and cognitive psychology perspective.

Authors:  Lawrence W Way; Lygia Stewart; Walter Gantert; Kingsway Liu; Crystine M Lee; Karen Whang; John G Hunter
Journal:  Ann Surg       Date:  2003-04       Impact factor: 12.969

2.  Automation and adaptation: Nurses' problem-solving behavior following the implementation of bar coded medication administration technology.

Authors:  Richard J Holden; A Joy Rivera-Rodriguez; Héléne Faye; Matthew C Scanlon; Ben-Tzion Karsh
Journal:  Cogn Technol Work       Date:  2013-08-01       Impact factor: 2.372

Review 3.  A human factors engineering paradigm for patient safety: designing to support the performance of the healthcare professional.

Authors:  B-T Karsh; R J Holden; S J Alper; C K L Or
Journal:  Qual Saf Health Care       Date:  2006-12

4.  Impact of clinical reminder redesign on learnability, efficiency, usability, and workload for ambulatory clinic nurses.

Authors:  Jason J Saleem; Emily S Patterson; Laura Militello; Shilo Anders; Mercedes Falciglia; Jennifer A Wissman; Emilie M Roth; Steven M Asch
Journal:  J Am Med Inform Assoc       Date:  2007-06-28       Impact factor: 4.497

Review 5.  Defining the methodological challenges and opportunities for an effective science of sociotechnical systems and safety.

Authors:  Patrick Waterson; Michelle M Robertson; Nancy J Cooke; Laura Militello; Emilie Roth; Neville A Stanton
Journal:  Ergonomics       Date:  2015-04-02       Impact factor: 2.778

6.  Sociotechnical attributes of safe and unsafe work systems.

Authors:  Brian M Kleiner; Lawrence J Hettinger; David M DeJoy; Yuang-Hsiang Huang; Peter E D Love
Journal:  Ergonomics       Date:  2015       Impact factor: 2.778

7.  Editorial: emerging issues in sociotechnical systems thinking and workplace safety.

Authors:  Y Ian Noy; Lawrence J Hettinger; Marvin J Dainoff; Pascale Carayon; Nancy G Leveson; Michelle M Robertson; Theodore K Courtney
Journal:  Ergonomics       Date:  2015-03-30       Impact factor: 2.778

8.  Decision Support System Requirements Definition for Human Extravehicular Activity Based on Cognitive Work Analysis.

Authors:  Matthew James Miller; Kerry M McGuire; Karen M Feigh
Journal:  J Cogn Eng Decis Mak       Date:  2016-10-17

9.  Medication management strategies used by older adults with heart failure: A systems-based analysis.

Authors:  Robin S Mickelson; Richard J Holden
Journal:  Eur J Cardiovasc Nurs       Date:  2017-09-13       Impact factor: 3.908

10.  Designing for Adaptation in Workers' Individual Behaviors and Collective Structures With Cognitive Work Analysis: Case Study of the Diagram of Work Organization Possibilities.

Authors:  Ben Elix; Neelam Naikar
Journal:  Hum Factors       Date:  2020-02-10       Impact factor: 2.888

  10 in total

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