Uncovering the requirements of cognitive work.
OBJECTIVE
In this article, the author provides an overview of cognitive analysis methods and how they can be used to inform system analysis and design.


BACKGROUND
Human factors has seen a shift toward modeling and support of cognitively intensive work (e.g., military command and control, medical planning and decision making, supervisory control of automated systems). Cognitive task analysis and cognitive work analysis methods extend traditional task analysis techniques to uncover the knowledge and thought processes that underlie performance in cognitively complex settings.


METHODS
The author reviews the multidisciplinary roots of cognitive analysis and the variety of cognitive task analysis and cognitive work analysis methods that have emerged.


RESULTS
Cognitive analysis methods have been used successfully to guide system design, as well as development of function allocation, team structure, and training, so as to enhance performance and reduce the potential for error.


CONCLUSIONS
A comprehensive characterization of cognitive work requires two mutually informing analyses: (a) examination of domain characteristics and constraints that define cognitive requirements and challenges and (b) examination of practitioner knowledge and strategies that underlie both expert and error-vulnerable performance. A variety of specific methods can be adapted to achieve these aims within the pragmatic constraints of particular projects.


CONCLUSIONS
Cognitive analysis methods can be used effectively to anticipate cognitive performance problems and specify ways to improve individual and team cognitive performance (be it through new forms of training, user interfaces, or decision aids).
Roth
Emilie M
EM
Roth Cognitive Engineering, Brookline, Massachusetts 02445-4509, USA. emroth@mindspring.com
D003071:Cognition; D006804:Ergonomics; D006801:Humans; D013647:Task Performance and Analysis; D016526:Workload / Q000523:psychology*