Embedding Cognitive Systems into Systems Engineering Practice

Cognitive engineering when integrally practiced with systems engineering, enriches both the human and the equipment sides of interfaces to improve situational awareness, speed information to the warfighter, and enabling more rapid decision-making. The design of highly effective human-equipment interfaces requires specification of the information required by operators as well as the equipment's components that provide the information. A process that provides Cognitive Systems Engineers (CSE) with a full-scope perspective of the hardware, software and human components can impact the equipment and the human interface to enhance human cognitive performance. This work investigates the feasibility of a model cognitive engineering-systems engineering process. It breaks down the DoD acquisition process and attributes of system types to identify information-driven entry points for the methodologies of cognitive engineering. It identifies the CSE influence sphere. A requirements set is developed from these. A draft model process results. Cognitive engineering techniques are matched to informational entry points to identify opportunities for integration, new technique requirements, and 3) implementation barriers. Technique inputs are compared with systems engineering products to determine discipline interfaces and remove process redundancy. A panel of cognitive and systems engineers reviews the model process with techniques. A Phase II maturation plan is developed.