Meeting the challenge of cognitive human performance model interpretability through transparency: MIDAS v5.x (2008)
Transparency in integrated human performance models (HPMs) is needed to support model verification, validation, and credibility. However, model transparency can be difficult to attain because of the complex interactions that can exist among the cognitive, physical, environment and crewstation models, and because the cognitive models embedded within integrated HPMs produce behaviors that are not directly observable. This paper will illustrate several techniques adopted by the Man-machine Integration Design and Analysis System (MIDAS) to increase three forms of transparency: input transparency, model architecture transparency, and output transparency.
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Analysis, cognitive, Design, Human, integrated, Integration, interpretability, Man-machine, MIDAS, model, model, performance, physical, System, transparency
Proceedings of the 2008 Applied Human Factors and Ergonomics International (AHFEI) Conference. Las Vegas, NV (July 14-17, 2008).
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