Modeling human-system interaction: philosophical and methodological considerations, with examples
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, New Jersey
Wiley
[2017]
|
| Schriftenreihe: | Stevens Institute series on complex systems and enterprises
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | xii, 171 Seiten Illustrationen, Diagramme 242 mm x 160 mm |
| ISBN: | 9781119275268 1119275261 |
Internformat
MARC
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| 020 | |a 9781119275268 |c (cloth) |9 978-1-119-27526-8 | ||
| 020 | |a 1119275261 |9 1-119-27526-1 | ||
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| 245 | 1 | 0 | |a Modeling human-system interaction |b philosophical and methodological considerations, with examples |c Thomas B. Sheridan |
| 264 | 1 | |a Hoboken, New Jersey |b Wiley |c [2017] | |
| 300 | |a xii, 171 Seiten |b Illustrationen, Diagramme |c 242 mm x 160 mm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Stevens Institute series on complex systems and enterprises | |
| 500 | |a Includes bibliographical references and index | ||
| 653 | 0 | |a Human-computer interaction | |
| 653 | 0 | |a User-centered system design | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, PDF |z 978-1-119-27529-9 |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, epub |z 978-1-119-27528-2 |
| 856 | 4 | 2 | |m Digitalisierung UB Bamberg - ADAM Catalogue Enrichment |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029711885&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-029711885 | ||
Datensatz im Suchindex
| _version_ | 1804177518066925568 |
|---|---|
| adam_text | CONTENTS
PREFACE xi
Introduction 1
1 Knowledge 5
Gaining New Knowledge, 5
Scientific Method: What Is It?, 7
Further Observations on the Scientific Method, 8
Reasoning Logically, 10
Public (Objective) and Private (Subjective) Knowledge, 11
The Role of Doubt in Doing Science, 11
Evidence: Its use and Avoidance, 12
Metaphysics and its Relation to Science, 12
Objectivity, Advocacy, and Bias, 13
Analogy and Metaphor, 14
2 What is a Model? 17
Defining “Model”, 17
Model Attributes: A New Taxonomy, 20
Examples of Models in Terms of the Attributes, 25
Why Make the Effort to Model?, 27
Attribute Considerations in Making Models UseM, 27
vi
Social Choice, 30
What Models are Not, 31
CONTENTS
3 Important Distinctions in Modeling 33
Objective and Subjective Models, 33
Simple and Complex Models, 35
Descriptive and Prescriptive (Normative) Models, 36
Static and Dynamic Models, 36
Deterministic and Probabilistic Models, 36
Hierarchy of Abstraction, 37
Some Philosophical Perspectives, 38
4 Forms of Representation 41
Verbal Models, 41
Graphs, 42
Maps, 44
Schematic Diagrams, 45
Logic Diagrams, 46
Crisp Versus Fuzzy Logic (see also Appendix, Section “Mathematics
of Fuzzy Logic”), 48
Symbolic Statements and Statistical Inference (see also Appendix,
Section “Mathematics of Statistical Inference
From Evidence”), 50
5 Acquiring Information 51
Information Communication (see also Appendix, Section
“Mathematics of Information Communication”), 51
Information Value (see also Appendix, Section “Mathematics
of Information Value”), 53
Logarithmic-Like Psychophysical Scales, 54
Perception Process (see also Appendix, Section “Mathematics
of the Brunswik/Kirlik Perception Model”), 54
Attention, 55
Visual Sampling (see also Appendix, Section “Mathematics of How
Often to Sample”), 56
Signal Detection (see also Appendix, Section “Mathematics of Signal
Detection”), 58
Situation Awareness, 59
Mental Workload (see also Appendix, Section “Research Questions
Concerning Mental Workload”), 60
CONTENTS
vii
Experiencing What is Virtual: New Demands for Human-System
Modeling (see also Appendix, Section “Behavior Research Issues
in Virtual Reality”), 64
6 Analyzing the Information 69
Task Analysis, 69
Judgment Calibration, 70
Valuation/Utility (see also Appendix, Section “Mathematics
of Human Judgment of Utility”), 72
Risk and Resilience, 73
Definition of Risk, 73
Meaning of Resilience, 73
Trust, 75
7 Deciding on Action 77
What is Achievable, 77
Decision Under Condition of Certainty
(see also Appendix, Section “Mathematics of Decisions Under
Certainty”), 78
Decision Under Condition of Uncertainty
(see also Appendix, Section “Mathematics of Decisions Under
Uncertainty”), 79
Competitive Decisions: Game Models (see also Appendix
“Mathematics of Game Models”), 79
Order of Subtask Execution, 80
8 Implementing and Evaluating the Action 83
Time to Make a Selection, 83
Time to Make an Accurate Movement, 84
Continuous Feedback Control (see also Appendix, Section
“Mathematics of Continuous Feedback Control”), 85
Looking Ahead (Preview Control) (see also Appendix, Section
“Mathematics of Preview Control”), 87
Delayed Feedback, 88
Control by Continuously Updating an Internal Model (see also
Appendix, Section “Stepping Through the Kalman Filter
System”), 88
Expectation of Team Response Time, 90
Human Error, 91
CONTENTS
9 Human-Automation Interaction 95
Human-Automation Allocation, 95
Supervisory Control, 96
Trading and Sharing, 98
Adaptive/Adaptable Control, 101
Model-Based Failure Detection, 102
10 Mental Models 105
What is a Mental Model?, 105
Background of Research on Mental Models, 106
ACT-R, 108
Lattice Characterization of a Mental Model, 110
Neuronal Packet Network as a Model of Understanding, 112
Modeling of Aircraft Pilot Decision-Making Under Time Stress, 113
Mutual Compatibility of Mental, Display, Control, and Computer
Models, 114
11 Can Cognitive Engineering Modeling
Contribute to Modeling Large-Scale
Socio-Technical Systems? 115
Basic Questions, 115
What Large-Scale Social Systems are we Talking About?, 116
What Models?, 120
Potential of Feedback Control Modeling of Large-Scale Societal
Systems, 122
The STAMP Model for Assessing Errors in Large-Scale Systems, 122
Past World Modeling Efforts, 123
Toward Broader Participation, 124
APPENDIX 129
Mathematics of Fuzzy Logic, 129
Mathematics of Statistical Inference from Evidence, 131
Mathematics of Information Communication, 132
Mathematics of Information Value, 134
Mathematics of the Brunswik/Kirlik Perception Model, 135
Mathematics of How Often to Sample, 136
Mathematics of Signal Detection, 138
Research Questions Concerning Mental Workload, 141
Behavior Research Issues in Virtual Reality, 144
CONTENTS
ix
Mathematics of Human Judgment of Utility, 146
Mathematics of Decisions Under Certainty, 147
Mathematics of Decisions Under Uncertainty, 149
Mathematics of Game Models, 150
Mathematics of Continuous Feedback Control, 152
Mathematics of Preview Control, 153
Stepping Through the Kalman Filter System, 154
REFERENCES
159
INDEX
167
|
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| id | DE-604.BV044308166 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:49:21Z |
| institution | BVB |
| isbn | 9781119275268 1119275261 |
| language | English |
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| physical | xii, 171 Seiten Illustrationen, Diagramme 242 mm x 160 mm |
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| spelling | Sheridan, Thomas B. 1929- Verfasser (DE-588)1089120354 aut Modeling human-system interaction philosophical and methodological considerations, with examples Thomas B. Sheridan Hoboken, New Jersey Wiley [2017] xii, 171 Seiten Illustrationen, Diagramme 242 mm x 160 mm txt rdacontent n rdamedia nc rdacarrier Stevens Institute series on complex systems and enterprises Includes bibliographical references and index Human-computer interaction User-centered system design Erscheint auch als Online-Ausgabe, PDF 978-1-119-27529-9 Erscheint auch als Online-Ausgabe, epub 978-1-119-27528-2 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029711885&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Sheridan, Thomas B. 1929- Modeling human-system interaction philosophical and methodological considerations, with examples |
| title | Modeling human-system interaction philosophical and methodological considerations, with examples |
| title_auth | Modeling human-system interaction philosophical and methodological considerations, with examples |
| title_exact_search | Modeling human-system interaction philosophical and methodological considerations, with examples |
| title_full | Modeling human-system interaction philosophical and methodological considerations, with examples Thomas B. Sheridan |
| title_fullStr | Modeling human-system interaction philosophical and methodological considerations, with examples Thomas B. Sheridan |
| title_full_unstemmed | Modeling human-system interaction philosophical and methodological considerations, with examples Thomas B. Sheridan |
| title_short | Modeling human-system interaction |
| title_sort | modeling human system interaction philosophical and methodological considerations with examples |
| title_sub | philosophical and methodological considerations, with examples |
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