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