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] system design, process design, training needs analysis, training design and evaluation, interface design and evaluation, [6] 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

Project management is the process of supervising the work of a team to achieve all project goals within the given constraints. This information is usually described in project documentation, created at the beginning of the development process. The primary constraints are scope, time and budget. The secondary challenge is to optimize the allocation of necessary inputs and apply them to meet predefined objectives.

Instructional design (ID), also known as instructional systems design and originally known as instructional systems development (ISD), is the practice of systematically designing, developing and delivering instructional materials and experiences, both digital and physical, in a consistent and reliable fashion toward an efficient, effective, appealing, engaging and inspiring acquisition of knowledge. The process consists broadly of determining the state and needs of the learner, defining the end goal of instruction, and creating some "intervention" to assist in the transition. The outcome of this instruction may be directly observable and scientifically measured or completely hidden and assumed. There are many instructional design models, but many are based on the ADDIE model with the five phases: analysis, design, development, implementation, and evaluation.

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

Usability can be described as the capacity of a system to provide a condition for its users to perform the tasks safely, effectively, and efficiently while enjoying the experience. In software engineering, usability is the degree to which a software can be used by specified consumers to achieve quantified objectives with effectiveness, efficiency, and satisfaction in a quantified context of use.

User-centered design (UCD) or user-driven development (UDD) is a framework of processes in which usability goals, user characteristics, environment, tasks and workflow of a product, service or process are given extensive attention at each stage of the design process. This attention includes testing which is conducted during each stage of design and development from the envisioned requirements, through pre-production models to post production. Testing is beneficial as it is often difficult for the designers of a product to understand the experiences of first-time users and each user's learning curve. UCD is based on the understanding of a user, their demands, priorities and experiences, and can lead to increased product usefulness and usability. UCD applies cognitive science principles to create intuitive, efficient products by understanding users' mental processes, behaviors, and needs.

<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.

Task analysis is a fundamental tool of human factors engineering. It entails analyzing how a task is accomplished, including a detailed description of both manual and mental activities, task and element durations, task frequency, task allocation, task complexity, environmental conditions, necessary clothing and equipment, and any other unique factors involved in or required for one or more people to perform a given task.

<span class="mw-page-title-main">Process modeling</span> Definition and description of a process or system

The term process model is used in various contexts. For example, in business process modeling the enterprise process model is often referred to as the business process model.

Business analysis is a professional discipline focused on identifying business needs and determining solutions to business problems. Solutions may include a software-systems development component, process improvements, or organizational changes, and may involve extensive analysis, strategic planning and policy development. A person dedicated to carrying out these tasks within an organization is called a business analyst or BA.

The term conceptual model refers to any model that is formed after a conceptualization or generalization process. Conceptual models are often abstractions of things in the real world, whether physical or social. Semantic studies are relevant to various stages of concept formation. Semantics is fundamentally a study of concepts, the meaning that thinking beings give to various elements of their experience.

Object-oriented analysis and design (OOAD) is a technical approach for analyzing and designing an application, system, or business by applying object-oriented programming, as well as using visual modeling throughout the software development process to guide stakeholder communication and product quality.

Ecological interface design (EID) is an approach to interface design that was introduced specifically for complex sociotechnical, real-time, and dynamic systems. It has been applied in a variety of domains including process control, aviation, and medicine.

Cognitive ergonomics is a scientific discipline that studies, evaluates, and designs tasks, jobs, products, environments and systems and how they interact with humans and their cognitive abilities. It is defined by the International Ergonomics Association as "concerned with mental processes, such as perception, memory, reasoning, and motor response, as they affect interactions among humans and other elements of a system. Cognitive ergonomics is responsible for how work is done in the mind, meaning, the quality of work is dependent on the persons understanding of situations. Situations could include the goals, means, and constraints of work. The relevant topics include mental workload, decision-making, skilled performance, human-computer interaction, human reliability, work stress and training as these may relate to human-system design." Cognitive ergonomics studies cognition in work and operational settings, in order to optimize human well-being and system performance. It is a subset of the larger field of human factors and ergonomics.

<span class="mw-page-title-main">Cynefin framework</span> Decision-making framework

The Cynefin framework is a conceptual framework used to aid decision-making. Created in 1999 by Dave Snowden when he worked for IBM Global Services, it has been described as a "sense-making device". Cynefin is a Welsh word for 'habitat'.

<span class="mw-page-title-main">Enterprise modelling</span>

Enterprise modelling is the abstract representation, description and definition of the structure, processes, information and resources of an identifiable business, government body, or other large organization.

Human Factors Integration (HFI) is the process adopted by a number of key industries in Europe to integrate human factors and ergonomics into the systems engineering process. Although each industry has a slightly different domain, the underlying approach is the same.

<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:

  1. The quality of work is constrained by the project's budget, deadlines and scope (features).
  2. The project manager can trade between constraints.
  3. Changes in one constraint necessitate changes in others to compensate or quality will suffer.

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

<span class="mw-page-title-main">Ergonomics</span> Designing introductions to suit users performance

Ergonomics, also known as human factors or human factors engineering (HFE), is the application of psychological and physiological principles to the engineering and design of products, processes, and systems. Primary goals of human factors engineering are to reduce human error, increase productivity and system availability, and enhance safety, health and comfort with a specific focus on the interaction between the human and equipment.

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.

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. Burns CM, Hajdukiewicz J (2004). Ecological Interface Design. Boca Raton, Florida: CRC Press. ISBN   9780415283748.

See also