• DocumentCode
    2691481
  • Title

    A methodology for understanding how operators select and use modes of automation to control complex dynamic systems

  • Author

    Callantine, Todd J. ; Mitchell, Christine M.

  • Author_Institution
    Center for Human-Machine Syst. Res., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    2
  • fYear
    1994
  • fDate
    2-5 Oct 1994
  • Firstpage
    1751
  • Abstract
    Human operators of complex dynamic systems often use automation with multiple modes. A thorough understanding of how operators select and use modes is therefore an essential element in developing more effective next-generation automation. This paper presents a methodology for tracking the activities of operators using modes to control complex dynamic systems. The methodology is embodied in an architecture that supports the real-time understanding of operator mode usage. Central to the architecture is a model of operator-automation interaction called an operator function model for systems with automatic control modes (OFM-ACM). The methodology and architecture have been applied to aviation navigation to track the activities performed by the crew of a “glass cockpit” aircraft while they use automated flight modes to fly a desired flight path
  • Keywords
    aircraft control; automation; human factors; large-scale systems; man-machine systems; automatic control modes; automation; aviation navigation; complex dynamic systems control; human operators; mode selection; operator function model; operator mode usage; operator-automation interaction; Aircraft navigation; Automatic control; Automation; Cats; Control systems; Error correction; Glass; Humans; Man machine systems; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-2129-4
  • Type

    conf

  • DOI
    10.1109/ICSMC.1994.400102
  • Filename
    400102