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The necessity of considering human factors in the early phases of intelligent systems engineering is increasing in tandem with overall system complexity and size. With this increased need, the capabilities and limitations of human-systems integration (HSI) are becoming more of a focus in the design of intelligent systems. Systems have been growing progressively more complex as the system is required to perform complicated tasks in an increasingly complex environment. However, the current state of system design and engineering processes is often insufficient or too late in the system life cycle to adequately address human-intelligent systems integration. As a result, emergent problems related to human factors arise late in the system life cycle, often even after system deployment, resulting in additional cost, time, and liability. This research proposes a method for including human factors early and throughout the systems engineering process utilizing use case definitions and associated diagrams that show relationships with external actors, including humans. Human performance, task analysis, and Goals, Operators, Methods, Selection rules (GOMS) models produce quantitative metrics for human factors to be included in the system design process. System use case definitions are a natural pathway for the inclusion of human factors early and throughout the systems life cycle, enabling the consideration of quantitative human-systems integration metrics in the system design process.
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; Mazzuchi, Thomas 2 ; Sarkani, Shahram 2 1 Engineering Management and Systems Engineering Department of the George Washington University, Washington, USA (GRID:grid.253615.6) (ISNI:0000 0004 1936 9510); The MITRE Corporation, McLean, USA (GRID:grid.420015.2) (ISNI:0000 0004 0493 5049)
2 Engineering Management and Systems Engineering Department of the George Washington University, Washington, USA (GRID:grid.253615.6) (ISNI:0000 0004 1936 9510)