• 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