04942nam 2200637Ia 450 991081208240332120240416234143.01-280-21427-997866102142730-309-56464-60-585-14916-X(CKB)111000211177030(OCoLC)44962092(CaPaEBR)ebrary10056710(SSID)ssj0000231215(PQKBManifestationID)11190454(PQKBTitleCode)TC0000231215(PQKBWorkID)10198704(PQKB)11432622(MiAaPQ)EBC3376437(Au-PeEL)EBL3376437(CaPaEBR)ebr10056710(CaONFJC)MIL21427(OCoLC)697789989(EXLCZ)9911100021117703019910220d1990 uy 0engurcn|||||||||txtccrQuantitative modeling of human performance in complex, dynamic systems /Sheldon Baron, Dana S. Kruser, and Beverly Messick Huey, editors ; Panel on Human Performance Modeling, Committee on Human Factors, Commission on Behavioral and Social Sciences and Education, National Research Council1st ed.Washington, D.C. National Academy Press19901 online resource (108 p.) Panel chairman: Sheldon Baron.Project supported by the Office of Naval Research.0-309-07842-3 0-309-04135-X Includes bibliographical references.Quantitative Modeling of Human Performance in Complex, Dynamic Systems -- Copyright -- Contents -- Foreword -- Preface -- 1 Introduction -- SCOPE -- WHAT IS HUMAN PERFORMANCE MODELING? -- Output Versus Process -- Predictive Versus Descriptive -- Prescriptive (Normative) Versus Descriptive -- Top-Down Versus Bottom-Up -- Single-Task (Limited Scope) Versus Multitask (Comprehensive) -- MODELING METHODOLOGY -- WHY USE HUMAN PERFORMANCE MODELS? -- Processes That May Benefit from Their Use -- Theory Development and Evaluation -- System Design and Evaluation -- Alternative (or Complementary) Methodologies to Modeling -- Expert Opinion -- Simulation -- Evaluation of Real Systems -- Laboratory Experimentation -- Benefits of Human Performance Modeling -- Genealogy of Human Performance Models -- Information-Processing Models -- Control Theory Models -- Task Network Models -- Knowledge-Based Models -- 2 Approaches To Human Performance Modeling -- MODELS OF LIMITED SCOPE -- LARGER, OR INTEGRATIVE, APPROACHES -- Information Processing -- Background -- Exemplar -- Strengths -- Caveats -- Control Theory -- Background -- Exemplar -- Strengths -- Caveats -- Task Network -- Background -- Illustration -- Time/Accuracy Models -- Other Performance Measures -- Processing Models -- Open-and Closed-Loop Models -- Models of Limited Scope -- Aggregation Issues and Macromodels -- Exemplars -- Strengths -- Caveats -- Knowledge-Based -- Background -- Exemplars -- Strengths -- Caveats -- SUMMARY OF MODELING APPROACHES -- 3 Applications -- HUMAN PERFORMANCE MODELS IN AIRCRAFT OPERATIONS -- Flight Control -- Background -- Current Issues -- Summary -- Aircrew Workload -- Background -- Current Issues -- Summary -- Air-To-Surface Search and Targeting -- Background -- Current Issues -- Summary -- HUMAN PERFORMANCE MODELS IN NUCLEAR POWER OPERATIONS -- Background -- Current Issues.Summary -- HUMAN PERFORMANCE MODELS IN MAINTENANCE OPERATIONS -- Background -- Summary -- HUMAN PERFORMANCE MODELS IN SUPERVISORY CONTROL -- Background -- Summary -- 4 Issues and Research Recommendations -- OVERVIEW -- SPECIFICS -- Complex/Comprehensive Human Performance Models -- Issues -- Recommendations -- Model Parameterization -- Issues -- Recommendations -- Problems With Validation -- Issues -- Recommendations -- Underutilization/Inaccessibility of Human Performance Models -- Issues -- Recommendations -- Potential For Misuse Or Misunderstanding -- Issues -- Recommendations -- Mental Models to Account for Mental Aspects of Tasks -- Issues -- Recommendation -- Developing and Using Knowledge-Based Models -- Issues -- Recommendation -- Accounting For Individual Differences -- Issues -- Recommendations -- CONCLUSION -- References -- Index.Human information processingMathematical modelsHuman-computer interactionMathematical modelsHuman information processingMathematical models.Human-computer interactionMathematical models.Huey Beverly Messick1615913Baron Sheldon1110902Kruser Dana S1673626MiAaPQMiAaPQMiAaPQBOOK9910812082403321Quantitative modeling of human performance in complex, dynamic systems4037827UNINA