• DocumentCode
    1245128
  • Title

    Towards a training methodology for skilled teleoperation

  • Author

    Zak, Haya ; Das, Hari

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    25
  • Issue
    2
  • fYear
    1995
  • fDate
    2/1/1995 12:00:00 AM
  • Firstpage
    313
  • Lastpage
    327
  • Abstract
    A novel approach to the design of training methodologies or programs for operators in man-machine systems and its application to the training of skilled human teleoperators is described. This approach requires that training goals are separated into four distinct categories: the maximization of performance consistency or reliability for critical tasks, the maximization of positive transfer between learned and new tasks, the minimization of the effects of internal operator states (e.g. fatigue, stress, workload), and the minimization of the effects of situational uncertainty or anomaly on performance. Being different from one another in fundamental ways these categories or goals entail the development and application of different training techniques. The paper reports the development of training procedures for achieving the first goal, that of performance consistency, for skilled teleoperators. This part methodology was evaluated against the training practices commonly used in the field, and was found to enhance the learning, hence promote the acquisition of performance consistency, of a challenging and realistic satellite servicing task
  • Keywords
    human factors; telecontrol; training; anomaly; internal operator states; man-machine systems; performance consistency; reliability; satellite servicing task; situational uncertainty; skilled teleoperation; training methodology; Assembly; Design methodology; Fatigue; Humans; Internal stresses; Man machine systems; Robotics and automation; Space stations; Teleoperators; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/21.364833
  • Filename
    364833