Cognitive work analysis

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Cognitive work analysis (CWA) is a framework that was developed to model a complex sociotechnical system. [1] [2]

Contents

Modeling of system constraints

The framework models different types of constraints, building a model of how work could proceed within a given work system. The focus on constraints separates the technique from other approaches to analysis that aim to describe how work is actually conducted, or prescribe how it should be conducted.

The CWA approach can be used to describe the constraints imposed by the purpose of a system, its functional properties, the nature of the activities that are conducted, the roles of the different human actors, and their cognition skills and strategy.

Application

Rather than offer a prescribed methodology, the CWA framework instead acts as a toolkit that can be used either individually or in combination with one another, depending upon the analysis needs. These tools are divided between phases. The exact names and scopes of these phases differ slightly dependent on the scope of the analysis. However, the overall scope remains largely the same. As defined by Vicente (1999), the CWA framework comprises five different phases: work domain analysis, control task (or activity) analysis, strategies analysis, social organisation and co-operation analysis, and the Industrial & Organizational Assessment.

Various models can be created based on the different phases of the CWA. A common way to structure the work domain analysis is to create an abstraction hierarchy, which includes identifying the systems purpose, values, functions, and physical objects. The control task analysis can be analyzed from different perspectives. From one perspective, a decision tree can be created based on the various steps an operator in the analyzed systems has to make in their work. From a second perspective, a contextual activity template can be created to analyze which activity is done by an operator at which times. Here, the activities are derived from the abstraction hierarchy from the work domain analysis. In the social organization and co-operation analysis, various identified roles within the system can be mapped on the contextual activity template to see which roles does what activity at which point.

The different tools within the CWA framework have been used for a plethora of different purposes, including system modelling, [3] [4] [5] [6] system design, process design, training needs analysis, training design and evaluation, interface design and evaluation, [7] information requirements specification, tender evaluation, team design, and error management training design. Despite its origin within the nuclear power domain, the CWA applications referred to above have taken place in a wide range of different domains, including naval, military, aviation, driving, and health care domains.

Research and design aims

It is especially difficult to prescribe a strict procedure for the CWA framework. In its true form, the framework is used to provide a description of the constraints within a domain. This description can then be used to address specific research and design aims.

Related Research Articles

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<span class="mw-page-title-main">Usability</span> Capacity of a system for its users to perform tasks

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<span class="mw-page-title-main">Systems development life cycle</span> Systems engineering terms

In systems engineering, information systems and software engineering, the systems development life cycle (SDLC), also referred to as the application development life cycle, is a process for planning, creating, testing, and deploying an information system. The SDLC concept applies to a range of hardware and software configurations, as a system can be composed of hardware only, software only, or a combination of both. There are usually six stages in this cycle: requirement analysis, design, development and testing, implementation, documentation, and evaluation.

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“the perception of the elements in the environment within a volume of time and space, the comprehension of their meaning, and the projection of their status in the near future”.

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<span class="mw-page-title-main">Project management triangle</span> Model of the constraints of project management

The project management triangle is a model of the constraints of project management. While its origins are unclear, it has been used since at least the 1950s. It contends that:

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Following Maurice de Montmollin, the French distinguished generally two major trends in ergonomics:

<span class="mw-page-title-main">Human factors and ergonomics</span> Designing systems to suit their users

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In organization development, the initial phase within the Cognitive work analysis (CWA) framework is Work Domain Analysis. It provides a description of the constraints that govern the purpose and the function of the systems under analysis.

Human performance modeling (HPM) is a method of quantifying human behavior, cognition, and processes. It is a tool used by human factors researchers and practitioners for both the analysis of human function and for the development of systems designed for optimal user experience and interaction. It is a complementary approach to other usability testing methods for evaluating the impact of interface features on operator performance.

<span class="mw-page-title-main">Improved Performance Research Integration Tool</span>

The Improved Performance Research Integration Tool (IMPRINT) is a discrete-event simulation and human performance modeling software tool developed by the Army Research Laboratory and Micro Analysis and Design. It is developed using the .NET Framework. IMPRINT allows users to create discrete-event simulations as visual task networks with logic defined using the C# programming language. IMPRINT is primarily used by the United States Department of Defense to simulate the cognitive workload of its personnel when interacting with new and existing technology to determine manpower requirements and evaluate human performance.

References

  1. Rasmussen, Jens; Pejtersen, Annelise Mark; Goodstein, Len P. (1994). Cognitive Systems Engineering. New York: Wiley. ISBN   978-0-471-01198-9.
  2. Vicente, Kim J. (1999). Cognitive Work Analysis: Toward Safe, Productive, and Healthy Computer-Based Work. Mahwah, NJ: Lawrence Erlbaum Associates.
  3. Ashoori M, Burns CM, d'Entremont B, Momtahan K (2014). "Using team cognitive work analysis to reveal healthcare team interactions in a birthing unit". Ergonomics. 57 (7): 973–986. doi:10.1080/00140139.2014.909949. PMC   4066876 . PMID   24837514.
  4. Euerby A, Burns CM (March 2014). "Improving social connection through a communities-of-practice-inspired cognitive work analysis approach". Human Factors. 56 (2): 361–383. doi: 10.1177/0018720813494410 . PMID   24689254. S2CID   6516724.
  5. Li Y, Hu R, Burns CM (2016). "Understanding automated financial trading using work domain analysis". The 59th Annual Meeting of the Human Factors and Ergonomics Society. 59 (56(1)): 165–169. doi:10.1177/1541931215591034. S2CID   168376522.
  6. Tennant R, Tetui M, Grindrod K, Burns CM (November 2022). "Understanding Human Factors Challenges on the Front Lines of Mass COVID-19 Vaccination Clinics: Human Systems Modeling Study". JMIR Human Factors. 9 (4): e39670. doi: 10.2196/39670 . PMC   9693702 . PMID   36219839.
  7. Burns CM, Hajdukiewicz J (2004). Ecological Interface Design. Boca Raton, Florida: CRC Press. ISBN   9780415283748.

See also