Selecting Learning Curve Models for Human Operator Performance

  • D. R. Towill


In using learning curves for modelling and prediction in the human factors scenario, we seek to identify a number of patterns in the basic data, each of which is an important source of information. These patterns may be classified as follows;
  1. (a)

    A trend-line, which in some “best” sense, can be used for predicting future performance. This trend-line can be influenced by proper design and planning of the task.

  2. (b)

    “Normal” scatter about the trend-line, which constitutes a natural and acceptable variation, and which can be used for setting upper and lower bounds.

  3. (c)

    “Abnormal” scatter about the trend-line, which results in an unacceptable variation. It indicates an avoidable loss in performance which can be traced to an assignable cause and hence eliminated by management control.

  4. (c)

    “Deterministic” changes in the trend-line. These may be long or short term, and have an assignable cause. An example of a management-induced cause is a planned change in the size or constitution of a team.



Industrial Case Study Industrial Dynamics Progress Function Improvement Curve Purdue Pegboard 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 1989

Authors and Affiliations

  • D. R. Towill
    • 1
  1. 1.Dept. of Mechanical and Manufacturing Systems EngineeringUniversity of Wales Institute of Science and TechnologyCardiff, WalesUK

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