Abstract
Cognitive Systems Engineering (CSE) techniques are widely used for the description and analysis of the sources of cognitive complexity and explicating the basis of expertise within a work domain. However, the results of the CSE techniques often focus on work analysis and are only weakly coupled to the design of decision support systems that are built based on those analyses. In fact, some within the CSE community have suggested that such a design epiphany occurs as if by magic. If CSE is to be treated as an engineering discipline, it cannot rely on magic to create systems. The approach described in this paper assumes that an explicit relationship between system design and supported cognitive work is fundamental to the design's effectiveness. The goal is a pragmatic, effective engineering process that explicitly designs systems according to relationships between cognitive work requirements and decision support concepts.
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