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Work Representations for Evaluating and Modeling Human-Machine Systems  (2014)
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Effective modeling of Human-Machine systems depends on an appropriate representation of work. This note discusses why format of work representation is important for modeling. Work representations vary in how specific versus abstract they are, with different levels providing different benefit. I identify some limitations of the predominant emphasis on highly specific work representations and benefits of pursuing more abstract representations. A new, abstract representation format (Work-Function X Variable Matrices) is proposed and illustrated with an example from cockpit aviation; a contrasting, specific-level example is sketched.
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Evaluating, Human-Machine, Modeling, Representations, Systems, Work
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Paper presented at AAAI Spring Symposium on Modeling in Human-Machine Systems: Challenges for Formal Verification. Stanford, March 2014
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Curator: Phil So
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Last Updated: August 15, 2019