In Bisantz, A.M. and Burns, C.M. (Eds.) Applications of Cognitive Work Analysis, CRC Press: Boca Raton, FL (2008)
Cognitive systems engineering (CSE) provides a means by which the interaction between people and machines can be described as they cope with complexity (Hollnagel & Woods, 2005). Cognitive work analysis (CWA) is useful for the design and testing of effective joint cognitive systems (JCS) only when understood in the larger context of a CSE approach that integrates that analysis with a representational approach to interface design. By adapting Woods’ (1991) mapping principle as a framework to integrate the results from a CWA into system design and development for effective decision support, powerful insights become evident to better understand what is needed of a CWA and how system designers can successfully exploit the power of a CWA to deliver uniquely effective computer systems as one component of a JCS. The extended mapping principle is used as the overarching context for attributes of the CWA and also as a link between the CWA and representational design that, when combined with high quality systems engineering practices, offers an end-to-end, traceable, testable design methodology. Just as steam power augmented the physical work that a human could accomplish, the tools of the information age are able to augment the cognitive work that a human can accomplish when those tools are successfully designed using CWA within an overall CSE process.
1 Resilient Cognitive Solutions, LLC
2 Charles River Analytics
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