• DocumentCode
    1628045
  • Title

    Study on modeling of operator´s learning mechanism

  • Author

    Yoshimura, Seiichi ; Takayanagi, Hiroshi

  • Author_Institution
    Human factors Res. Center, Central Res. Inst. of Electr. Power Ind., Tokyo, Japan
  • Volume
    3
  • fYear
    1999
  • fDate
    6/21/1905 12:00:00 AM
  • Firstpage
    721
  • Abstract
    One effective method to analyze the causes of human errors is to model the behavior of a human and to simulate it. The Central Research Institute of the Electric Power Industry (CRIEPI) has developed an operator team behavior simulation system called SYBORG (Simulation sYstem for the Behavior of an OpeRating Group) in order to analyze human errors and to establish countermeasures for them. The operator behavior model within SYBORG has no learning mechanism and the knowledge about a plant is fixed; therefore it cannot take suitable actions when unknown situations occur, nor can it learn anything from the experience. However, considering actual operators, learning is essential in order to enhance their ability to diagnose plant anomalies, and this may lead to improved plant safety. This paper describes the study results of modeling operators´ learning mechanisms, taking human nature into account
  • Keywords
    behavioural sciences computing; digital simulation; errors; power engineering computing; power plants; psychology; SYBORG; countermeasures; human behaviour modelling; human errors; human nature; operator learning mechanism; operator team behaviour simulation system; plant anomaly diagnosis; plant knowledge; plant safety; unknown situations; Airplanes; Analytical models; Cause effect analysis; Decision making; Error analysis; Human factors; Learning systems; Power generation; Power system modeling; Safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
  • Conference_Location
    Tokyo
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-5731-0
  • Type

    conf

  • DOI
    10.1109/ICSMC.1999.823317
  • Filename
    823317