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Quantitative Modeling of Human Performance in Complex, Dynamic Systems (1990) / Chapter Skim
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Pages 95-96

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From page 95...
... 95 Individual differences, 51, 73, 85~36 Information processing models, 5, 1~12, 16, 19, 20-27, 30, 47, 50, s4, 7s K Knowledge-based models, 5,10, 1~15, 19, 27, 4~50, 73, 84 85 Caveats, 48 49 Strengths, 48 L limited domain models, 1~18, 20, 34, 39, 41, 51 M Macro models, 1~19, 75 Mental models, 26, 28, 33, 69, 75, 83~4 Modeling Applications of, 3, 6, 52 Approaches to, 5~51 Genealogy of, 1~15 Methodology of, 5, 64, 86 Models Aggregation of, 2, 34, 3~0, 76 Definition of, 1, 2, 3, 5, 9, 69 Misuse of, 73, 82 83 Parametrization of, 3 - , 6, 8, 62, 7~73, 7~78, 85
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From page 96...
... System design, use of models for, 1, ~7, 12 T Ask network models, 5, 10, 1~14, 19, 34 42, 50, 55, 77 Caveats, 41-42 Strengths, 41 rlme/ac~rapy models, 37 Theory development and evaluation, use of models for, 1, 2, 6 Uptown models, 3, 4, 35, 41 W Workload models, 17, 33, 38, 39, 55-58 96 A
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Key Terms

  • limited domain
  • network models
  • modeling applications
  • workload models
  • macro models

  • uptown models
  • information processing
  • processing models
  • mental models
  • domain models

  • theory development
  • models aggregation
  • individual differences


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