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Army analysts have developed an integrated technique for optimum system design early in the system development cycle called the Human Availability Technique (HAT). HAT combines a systems engineering technique, the System Capabilities Analysis Process (SCAP) with a Human Factors Engineering technique, Cognitive Building Block (CBB) Approach. Analysts implement HAT by creating human performance models that include both common Soldier functions from CBB and system capabilities from SCAP. To demonstrate the benefits of this approach for a complex system, analysts completed a proof-of-concept analysis with HAT for a conceptual 2-Soldier design utility vehicle. This case study demonstrated the benefits of including a detailed representation of both Soldier and system functions in one analysis.
Identifying human factors issues before systems are built and demonstrating the importance of those issues to decision makers outside the human factors community is difficult. Modeling and simulation (M&S) has become a critical part of tackling this challenge, but the true impact of M&S is made when the results can be translated into predictions that are important to the decision makers such as future system performance. Through the use of the Improved Performance Research Integration Tool (IMPRINT), analysts are able to quantify the effect of human operator performance on system performance. IMPRINT is a task network modeling tool designed to help assess the influence of the human operator on system performance throughout the system lifecycle. This demonstration will provide a brief overview of IMPRINT and its capabilities and highlight new features that provide enhanced modeling capabilities and better results visualization. It will also feature a look at the new Multimodal Interface Design Support (MIDS) tool plug-in that provides users with analysis specific multimodal design guidelines they could be implemented into the system design to minimize mental overload and improve system performance.
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