Integrating Cognitive Systems Engineering Throughout the Systems Engineering Process

Abstract

In order for cognitive systems engineering (CSE) to deliver the benefits of recent theoretical advances in actual systems being developed, the insights of CSE must be transformed into pragmatic engineering practices. The CSE engineering practices described in this article (using the applied cognitive systems engineering methodology as an exemplar) are typical of just such an engineering adaptation of revolutionary science and represent engineering practices that are dedicated to building effective systems. CSE research insights can have a significant impact on their corresponding systems engineering (SE) practices by expanding SE's concept of a system from just the technology components to a joint cognitive system (Hollnagel & Woods, 2005) and expanding the associated SE practices appropriately. This article uses the Department of Defense system life cycle and the SE V-model (Forsberg & Mooz, 1992) as SE process exemplars to illustrate how CSE engineering practices can be integrated into the SE process. Specifically, we propose four key integration points where CSE can contribute significantly to the SE process: concept refinement, software development, testing, and postsystem development (i.e., operations support, training, and maintenance). Our approach shows that the practice of CSE does not compete with SE but, instead, augments current SE practices to ensure that the technology components are engineered with the users' cognitive needs in mind.