Modeling Human?System Interaction : Philosophical and Methodological Considerations, with Examples.
This book presents theories and models to examine how humans interact with complex automated systems, including both empirical and theoretical methods.-Provides examples of models appropriate to the four stages of human-system interaction -Examines in detail the philosophical underpinnings and assum...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Somerset :
John Wiley & Sons, Incorporated,
2016.
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Colección: | Stevens Institute Series on Complex Systems and Enterprises Ser.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- TITLE PAGE ; COPYRIGHT PAGE ; CONTENTS; PREFACE; INTRODUCTION; 1 KNOWLEDGE; GAINING NEW KNOWLEDGE; SCIENTIFIC METHOD: WHAT IS IT?; FURTHER OBSERVATIONS ON THE SCIENTIFIC METHOD; REASONING LOGICALLY; PUBLIC (OBJECTIVE) AND PRIVATE (SUBJECTIVE) KNOWLEDGE; THE ROLE OF DOUBT IN DOING SCIENCE; EVIDENCE: ITS USE AND AVOIDANCE; METAPHYSICS AND ITS RELATION TO SCIENCE; OBJECTIVITY, ADVOCACY, AND BIAS; ANALOGY AND METAPHOR; 2 WHAT IS A MODEL?; DEFINING "MODEL"; MODEL ATTRIBUTES: A NEW TAXONOMY; EXAMPLES OF MODELS IN TERMS OF THE ATTRIBUTES; WHY MAKE THE EFFORT TO MODEL?
- ATTRIBUTE CONSIDERATIONS INÈMAKING MODELS USEFULSOCIAL CHOICE; WHAT MODELS ARE NOT; 3 IMPORTANT DISTINCTIONS INÈMODELING; OBJECTIVE ANDÈSUBJECTIVE MODELS; SIMPLE ANDÈCOMPLEX MODELS; DESCRIPTIVE ANDÈPRESCRIPTIVE (NORMATIVE) MODELS; STATIC ANDÈDYNAMIC MODELS; DETERMINISTIC ANDÈPROBABILISTIC MODELS; HIERARCHY OFÄBSTRACTION; SOME PHILOSOPHICAL PERSPECTIVES; 4 FORMS OF REPRESENTATION ; VERBAL MODELS; GRAPHS; MAPS; SCHEMATIC DIAGRAMS; LOGIC DIAGRAMS; CRISP VERSUS FUZZY LOGIC (SEE ALSO APPENDIX, SECTION "MATHEMATICS OF FUZZY LOGIC").
- SYMBOLIC STATEMENTS AND STATISTICAL INFERENCE (SEE ALSO APPENDIX, SECTION "MATHEMATICS OF STATISTICAL INFERENCE FROM EVIDENCE") 5 ACQUIRING INFORMATION; INFORMATION COMMUNICATION (SEE ALSO APPENDIX, SECTION "MATHEMATICS OFÏNFORMATION COMMUNICATION"); INFORMATION VALUE (SEE ALSO APPENDIX, SECTION "MATHEMATICS OFÏNFORMATION VALUE"); LOGARITHMIC-LIKE PSYCHOPHYSICAL SCALES ; PERCEPTION PROCESS (SEE ALSO APPENDIX, SECTIONÈ"MATHEMATICS OFÈTHEÈBRUNSWIK/KIRLIK PERCEPTION MODEL"); ATTENTION; VISUAL SAMPLING (SEE ALSO APPENDIX, SECTION "MATHEMATICS OFḦOW OFTEN TOÈSAMPLE").
- SIGNAL DETECTION (SEE ALSO APPENDIX, SECTION "MATHEMATICS OFÈSIGNAL DETECTION")SITUATION AWARENESS; MENTAL WORKLOAD (SEE ALSO APPENDIX, SECTION "RESEARCH QUESTIONS CONCERNING MENTAL WORKLOAD"); EXPERIENCING WHAT IS VIRTUAL: NEW DEMANDS FORḦUMAN-SYSTEM MODELING (SEE ALSO APPENDIX, SECTION "BEHAVIOR RESEARCH ISSUES INÈVIRTUAL REALITY"); 6 ANALYZING THEÏNFORMATION; TASK ANALYSIS; JUDGMENT CALIBRATION; VALUATION/UTILITY (SEE ALSO APPENDIX, SECTION "MATHEMATICS OF HUMAN JUDGMENT OF UTILITY") ; RISK ANDÈRESILIENCE; Definition ofÈRisk; Meaning ofÈResilience; TRUST; 7 DECIDING ONÄCTION.
- WHAT IS ACHIEVABLEDECISION UNDER CONDITION OFÈCERTAINTY (SEE ALSO APPENDIX, SECTION "MATHEMATICS OFÈDECISIONS UNDER CERTAINTY"); DECISION UNDER CONDITION OFÜNCERTAINTY (SEE ALSO APPENDIX, SECTION "MATHEMATICS OFÈDECISIONS UNDER UNCERTAINTY"); COMPETITIVE DECISIONS: GAME MODELS (SEE ALSO APPENDIX "MATHEMATICS OF GAME MODELS"); ORDER OFÈSUBTASK EXECUTION; 8 IMPLEMENTING ANDËVALUATING THEÄCTION; TIME TOÈMAKE AÈSELECTION; TIME TOÈMAKE ANÄCCURATE MOVEMENT; CONTINUOUS FEEDBACK CONTROL (SEE ALSO APPENDIX, SECTION "MATHEMATICS OFÈCONTINUOUS FEEDBACK CONTROL").