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Performance theory: implications for performance measurement, task analysis, and performance prediction

Authors: G.V. Kondraske;

Performance theory: implications for performance measurement, task analysis, and performance prediction

Abstract

Research targeting improved quantification of human performance identified conceptual shortcomings, motivating development of General Systems Performance Theory (GSPT) and the Elemental Resource Model (ERM) for human performance. These have had profound implications for performance measurement, task analysis, and performance prediction. This paper presents an up-to-date summary of these impacts. Foremost are new task analysis and performance prediction methods that have been successful where direct analytic methods do not exist and where traditional statistical analyses have performed poorly. It is concluded that performance theory is indispensable for meaningful progress in human performance modeling and measurement.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
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