A Framework of Human Systems Engineering
Applications and Case Studies
(Sprache: Englisch)
Explores the breadth and versatility of Human Systems Engineering (HSE) practices and illustrates its value in system development
A Framework of Human Systems Engineering: Applications and Case Studies offers a guide to identifying and improving...
A Framework of Human Systems Engineering: Applications and Case Studies offers a guide to identifying and improving...
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Explores the breadth and versatility of Human Systems Engineering (HSE) practices and illustrates its value in system developmentA Framework of Human Systems Engineering: Applications and Case Studies offers a guide to identifying and improving methods to integrate human concerns into the conceptualization and design of systems. With contributions from a panel of noted experts on the topic, the book presents a series of Human Systems Engineering (HSE) applications on a wide range of topics: interface design, training requirements, personnel capabilities and limitations, and human task allocation.
Each of the book's chapters present a case study of the application of HSE from different dimensions of socio-technical systems. The examples are organized using a socio-technical system framework to reference the applications across multiple system types and domains. These case studies are based in real-world examples and highlight the value of applying HSE to the broader engineering community. This important book:
* Includes a proven framework with case studies to different dimensions of practice, including domain, system type, and system maturity
* Contains the needed tools and methods in order to integrate human concerns within systems
* Encourages the use of Human Systems Engineering throughout the design process
* Provides examples that cross traditional system engineering sectors and identifies a diverse set of human engineering practices
Written for systems engineers, human factors engineers, and HSI practitioners, A Framework of Human Systems Engineering: Applications and Case Studies provides the information needed for the better integration of human and systems and early resolution of issues based on human constraints and limitations.
Inhaltsverzeichnis zu „A Framework of Human Systems Engineering “
Biographies xvContributors List xvii
Foreword xxi
Preface xxiii
Section 1 Sociotechnical System Types 1
1 Introduction to the Human Systems Engineering Framework 3
Holly A. H. Handley
1.1 Introduction 3
1.2 Human-Centered Disciplines 3
1.3 Human Systems Engineering 4
1.4 Development of the HSE Framework 5
1.5 HSE Applications 7
1.6 Conclusion 9
References 9
2 Human Interface Considerations for Situational Awareness 11
Christian G. W. Schnedler and Michael Joy
2.1 Introduction 11
2.2 Situational Awareness: A Global Challenge 12
2.3 Putting Situational Awareness in Context: First Responders 13
2.4 Deep Dive on Human Interface Considerations 14
2.5 Putting Human Interface Considerations in Context: Safe Cities 15
2.6 Human Interface Considerations for Privacy-Aware SA 16
Reference 17
3 Utilizing Artificial Intelligence to Make Systems Engineering More Human 19
Philip S. Barry and Steve Doskey
3.1 Introduction 19
3.2 Changing Business Needs Drive Changes in Systems Engineering 20
3.3 Epoch 4: Delivering Capabilities in the Sociotechnical Ecosystem 21
3.3.1 A Conceptual Architecture for Epoch 4 22
3.3.2 Temporal Sociotechnical Measures 22
3.3.3 Systems Engineering Frameworks 23
3.3.3.1 Sociotechnical Network Models 23
3.3.3.2 Digital Twins 23
3.4 The Artificial Intelligence Opportunity for Building Sociotechnical Systems 24
3.5 Using AI to Track and Interpret Temporal Sociotechnical Measures 25
3.6 AI in Systems Engineering Frameworks 25
3.7 AI in Sociotechnical Network Models 26
3.8 AI-Based Digital Twins 27
3.9 Discussion 27
3.10 Case Study 30
3.11 Systems Engineering Sociotechnical Modeling Approach 31
3.11.1 Modeling the
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Project 33
3.12 Results 36
3.13 Summary 38
References 39
4 Life Learning of Smart Autonomous Systems for Meaningful Human-Autonomy Teaming 43
Kate J. Yaxley, Keith F. Joiner, Jean Bogais, and Hussein A. Abbass
4.1 Introduction 43
4.2 Trust in Successful Teaming 45
4.3 Meaningful Human-Autonomy Teaming 46
4.4 Systematic Taxonomy for Iterative Through-Life Learning of SAS 47
4.5 Ensuring Successful SAS 51
4.6 Developing Case Study: Airborne Shepherding SAS 53
4.7 Conclusion 57
Acknowledgment 58
References 58
Section 2 Domain Deep Dives 63
5 Modeling the Evolution of Organizational Systems for the Digital Transformation of Heavy Rail 65
Grace A. L. Kennedy, William R. Scott, Farid Shirvani, and A. Peter Campbell
5.1 Introduction 65
5.2 Organizational System Evolution 66
5.2.1 Characteristics of Organizational Systems 66
5.2.2 The Organization in Flux 67
5.2.3 Introducing New Technologies 68
5.3 Model-Based Systems Engineering 70
5.4 Modeling Approach for the Development of OCMM 71
5.4.1 Technology Specification 72
5.4.2 Capture System Change 73
5.4.3 Capture Organizational Changes 73
5.4.4 Manage Organization Change 73
5.4.5 Analyze Emergent System 73
5.5 Implementation 74
5.5.1 User Portals 75
5.5.2 OCMM Metamodel 75
5.6 Case Study: Digital Transformation in the Rail Industry 78
5.6.1 Technology Specification 79
5.6.2 Capture System Change 79
5.6.3 Capture Organization Changes 80
3.12 Results 36
3.13 Summary 38
References 39
4 Life Learning of Smart Autonomous Systems for Meaningful Human-Autonomy Teaming 43
Kate J. Yaxley, Keith F. Joiner, Jean Bogais, and Hussein A. Abbass
4.1 Introduction 43
4.2 Trust in Successful Teaming 45
4.3 Meaningful Human-Autonomy Teaming 46
4.4 Systematic Taxonomy for Iterative Through-Life Learning of SAS 47
4.5 Ensuring Successful SAS 51
4.6 Developing Case Study: Airborne Shepherding SAS 53
4.7 Conclusion 57
Acknowledgment 58
References 58
Section 2 Domain Deep Dives 63
5 Modeling the Evolution of Organizational Systems for the Digital Transformation of Heavy Rail 65
Grace A. L. Kennedy, William R. Scott, Farid Shirvani, and A. Peter Campbell
5.1 Introduction 65
5.2 Organizational System Evolution 66
5.2.1 Characteristics of Organizational Systems 66
5.2.2 The Organization in Flux 67
5.2.3 Introducing New Technologies 68
5.3 Model-Based Systems Engineering 70
5.4 Modeling Approach for the Development of OCMM 71
5.4.1 Technology Specification 72
5.4.2 Capture System Change 73
5.4.3 Capture Organizational Changes 73
5.4.4 Manage Organization Change 73
5.4.5 Analyze Emergent System 73
5.5 Implementation 74
5.5.1 User Portals 75
5.5.2 OCMM Metamodel 75
5.6 Case Study: Digital Transformation in the Rail Industry 78
5.6.1 Technology Specification 79
5.6.2 Capture System Change 79
5.6.3 Capture Organization Changes 80
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Autoren-Porträt
HOLLY A. H. HANDLEY, PHD, is an Associate Professor in the Engineering Management and System Department at Old Dominion University.ANDREAS TOLK, PHD, is Senior Computer Science Principal and Modeling, Simulation, Experimentation, and Analytics Division Staff member at The MITRE Corporation.
Bibliographische Angaben
- 2021, 1. Auflage, 304 Seiten, Maße: 17,9 x 26,1 cm, Gebunden, Englisch
- Herausgegeben: Holly A. H. Handley, Andreas Tolk
- Verlag: Wiley & Sons
- ISBN-10: 1119698758
- ISBN-13: 9781119698753
Sprache:
Englisch
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