• DocumentCode
    2846989
  • Title

    One Framework of Automation Design Based on Operator Cognitive State Assessment

  • Author

    Shi, Xiujian ; Li, Long ; Xie, Hongwei

  • Author_Institution
    Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The rapid developments of technology and science have made automation broadly applied in all aspects of human-machine systems. In reality automation does not merely supplant but changes human activities, and can impose new coordination demands on human operators. For the whole system security and reliability, proper design of automation systems is very essential. Based on a thorough analysis of automation effects on human-machine systems, especially on human operators, this paper presents one feasible framework of automation design guided by human-centered automation, with the expectation to prompt the design of human-machine systems and the cooperation between human and machine, especially automation systems, and further to enhance whole system security and reliability. Moreover, the analysis results may be of great benefit to the task allocation of human-machine interaction and the design of automation support systems in emergency situations.
  • Keywords
    human computer interaction; human factors; man-machine systems; automation design; automation support systems; automation systems; coordination demands; human operators; human-centered automation; human-machine systems; operator cognitive state assessment; system security; task allocation; Air safety; Design automation; Design engineering; Educational institutions; Humans; Man machine systems; Mechatronics; Power system reliability; Security; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5365134
  • Filename
    5365134