DocumentCode :
1741307
Title :
Performance theory: implications for performance measurement, task analysis, and performance prediction
Author :
Kondraske, George V.
Author_Institution :
Human Performance Inst., Texas Univ., Arlington, TX, USA
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
17
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
Keywords :
physiological models; task analysis; elemental resource model; human performance; performance measurement; performance prediction; performance theory; traditional statistical analyses; Aerospace industry; Chemical elements; Chemistry; Humans; Measurement; Performance analysis; Prediction methods; Predictive models; Statistical analysis; System performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1094-687X
Print_ISBN :
0-7803-6465-1
Type :
conf
DOI :
10.1109/IEMBS.2000.900656
Filename :
900656
Link To Document :
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