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The human user is important to consider during system design. However, common system design models, such as the system modeling language, typically represent human users and operators as external actors, rather than as internal to the system. This research presents a method for integrating human considerations into system models through human-centered design. A specific system is selected to serve as the case study for demonstrating the methodology. The sample system is analyzed to identify the task and information flow. Then, both system-and human-centered diagrams are separately created to represent different viewpoints of the system. These diagrams are compared and analyzed, and new diagrams are created that incorporate both system and human considerations into one concordant representation of the system model. These new views allow systems engineers and human factors engineers to effectively communicate the role of the user during early system design trades.

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Humans play a key role in the operation and support of most systems and model-based systems engineering (MBSE) offers new opportunities to properly consider human capabilities and involvement. This research presents an approach for systems engineers to integrate system models with human performance modeling for early and more effective system design. Unlike analyses using traditional physics-based models found in most extant MBSE literature, adjusting system parameters for human-based analyses can greatly impact the design of the system itself. Adjusting a human-system parameter can lead to design implications including adjustments to task allocation, process and workflow, and interface design. To demonstrate this, a quantitative case-study approach is used. Starting with a set of Systems Modeling Language (SysML) diagrams, a task analysis is performed to inform an "as is" model of human performance in the Improved Performance Research Integration Tool (IMPRINT). An alternative IMPRINT model is created with varying design parameters and utilized to perform a trade study. Through the analysis, constraints and assumptions placed on the human are verified and the results of varying automation estimated. With current design emphasis in MBSE and model-based engineering (MBE), there is great opportunity to emphasize human considerations and integrate human performance analysis. Published 2017.