According to the International Ergonomics Association, by definition, "Cognitive ergonomics (CE) is concerned with mental processes, such as perception, memory, reasoning, and motor response, as they affect interactions among humans and other elements of a system. 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.".[1] 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.
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Cognitive ergonomics or cognitive engineering is an emerging branch of ergonomics which places particular emphasis on the analysis of cognitive processes required of operators in modern industries and similar milleus. Examples include diagnosis, decision making, and planning. Cognitive ergonomics aims at enhancing performance of cognitive tasks by means of several interventions, including:
The field of cognitive ergonomics emerged predominantly in the 70's with the advent of the personal computer and new developments in the fields of cognitive psychology and artificial intelligence. According to John Long, a professor of cognitive engineering at UCLIC, CE contrasts the tradition of physical ergonomics because "cognitive ergonomics is...the application of psychology to work...to achieve the optimization between people and their work." [2] Viewed as an applied science, the methods involved with creating cognitive ergonomic design have changed with the rapid development in technological advances over the last 27 years. In the 80's there was a worldwide transition in the methodological approach to design. According to Gerrit C. Van der veer (2008), experts began to develop systematic design methods from the point of view of the user (Van der veer 2616). Enid Mumford was one of the pioneers of interactive systems engineering, and advocated the notion of user-centered design, wherein the user is considered and "included in all phases of the design" (Van der veer 2616).[3] There are several different models which describe the criteria for designing user-friendly technology. A number of models focus on a systematic process for design, using task analysis to evaluate the cognitive processes involved with a given task and develop adequate interface capabilities. Task analysis in past research has focused on the evaluation of cognitive task demands, concerning motor control and cognition during visual tasks such as operating machinery, or the evaluation of attention and focus via the analysis of eye saccades of pilots when flying.[3] Neuroergonomics, a subfield of cognitive ergonomics, aims to enhance human-computer interaction by using neural correlates to better understand situational task demands.[4] Neuroergonomic research at the university of Iowa is currently involved with assessing safe-driving protocol, enhancing elderly mobility, and analyzing cognitive abilities involved with the navigation of abstract virtual environments.[5]
Successful, ergonomic intervention in the area of cognitive tasks requires a thorough understanding not only of the demands of the work situation, but also of user strategies in performing cognitive tasks and of limitations in human cognition. In some cases, the artifacts or tools used to carry out a task may impose their own constraints and limitations (e.g., navigating through a large number of GUI screens). Tools may also co-determine the very nature of the task.[3] In this sense, the analysis of cognitive tasks should examine both the interaction of users with their work setting and the user interaction with artifacts or tools; the latter is very important as modern artifacts (e.g., control panels, software, expert systems) become increasingly sophisticated. Emphasis lies on how to design human-machine interfaces and cognitive artifacts so that human performance is sustained in work environments where information may be unreliable, events may be difficult to predict, multiple simultaneous goals may be in conflict, and performance may be time constrained.[6]
Cognitive [task analysis] (CTA) is a general term for the set of methods used to identify the mental demands and cognitive skills needed to complete a task.[7] Frameworks like GOMS provide a formal set of methods for identifying the mental activities required by a task and an artifact, such as a desktop computer system. By identifying the sequence of mental activities of a user engaged in a task, cognitive engineers can identify bottlenecks and critical paths that may present opportunities for improvement or risks (such as human error) that merit changes in training or system behavior.[8]
Cognitive ergonomics draws from or is related to:
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