• DocumentCode
    1707823
  • Title

    Human-machine system design optimization for nondeterministic spacecraft anomaly determination/resolution

  • Author

    Hunold, Kriss Q. ; LaCourse, John R.

  • Author_Institution
    Biomed. Eng. Center, New Hampshire Univ., Durham, NH, USA
  • fYear
    2003
  • Firstpage
    110
  • Lastpage
    111
  • Abstract
    This study addressed the issues of uncertainty inherent in satellite control and in optimizing the roles of the human in the combined human/machine system unit. Three different "Types" of tasks were defined. Each "Type" category was represented of the level of knowledge required to perform the task most effectively (low/moderate/high). Each task consists of resolving a unique satellite vehicle anomaly within pre-scripted scenarios. The role of human knowledge was examined and found to be significantly important. This result was more evident as the situation uncertainty or complexity of the task increased.
  • Keywords
    aerospace control; artificial satellites; command and control systems; knowledge management; man-machine systems; Type category; combined human/machine system unit; expert crews; human knowledge; human roles; human-machine system design optimization; nondeterministic spacecraft anomaly determination; nondeterministic spacecraft anomaly resolution; prescripted scenarios; satellite command and control; satellite control; situation uncertainty; systems design approach; task complexity; tasks; unique satellite vehicle anomaly; Automation; Biomedical engineering; Command and control systems; Control systems; Design optimization; Force control; Humans; Satellites; Space vehicles; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, 2003 IEEE 29th Annual, Proceedings of
  • Print_ISBN
    0-7803-7767-2
  • Type

    conf

  • DOI
    10.1109/NEBC.2003.1216016
  • Filename
    1216016