• DocumentCode
    1795283
  • Title

    Human performance model based on fuzzy rules

  • Author

    Ni Li ; Xiang Li ; Kang Yang

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    2225
  • Lastpage
    2230
  • Abstract
    Modeling human is a hard problem as human is too complicated, often relates to psychobiology, cognitive, social, culture and realistic background, but it´s very necessary to do that especially in the field of military virtual training, games, human resource management, etc. Although different researchers apply different techniques to model human, but the key point is still the division of human characteristics and its interactive relationships. In this paper, a more comprehensive human model is proposed to predict people´s performance, which includes human´s ability, personality, motivation, emotion and pressures, and validated with fuzzy rules. Also we add some extra events to the simulation to make it more reality. Through the analysis of simulation results, we found the model can reflect people´s performance in real life.
  • Keywords
    fuzzy set theory; human factors; cognitive background; culture background; fuzzy rules; games; human characteristics; human model; human performance model; human resource management; interactive relationship; military virtual training; psychobiology; realistic background; social background; Automation; Educational institutions; Electrical engineering; Market research; Physiology; Predictive models; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4799-4700-3
  • Type

    conf

  • DOI
    10.1109/CGNCC.2014.7007518
  • Filename
    7007518