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Automation Challenges of Socio-technical Systems: Paradoxes and Conflicts [Kõva köide]

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  • Formaat: Hardback, 360 pages, kõrgus x laius x paksus: 239x163x25 mm, kaal: 680 g
  • Ilmumisaeg: 05-Jul-2019
  • Kirjastus: ISTE Ltd and John Wiley & Sons Inc
  • ISBN-10: 1786304228
  • ISBN-13: 9781786304223
Teised raamatud teemal:
Automation Challenges of Socio-technical Systems: Paradoxes and ConflictsSuurem pilt
  • Formaat: Hardback, 360 pages, kõrgus x laius x paksus: 239x163x25 mm, kaal: 680 g
  • Ilmumisaeg: 05-Jul-2019
  • Kirjastus: ISTE Ltd and John Wiley & Sons Inc
  • ISBN-10: 1786304228
  • ISBN-13: 9781786304223
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781786304223.html
Märksõnad:

The challenges of automating socio-technical systems are strongly linked to the strengths and limitations of technical and human resources, such as perceptual characteristics, cooperative capacities, job-sharing arrangements, modeling of human behavior and the contribution of innovative design approaches.

Automation Challenges of Socio-technical Systems exposes the difficulties in implementing and sustaining symbiosis between humans and machines in both the short and long terms. Furthermore, it presents innovative solutions for achieving such symbiosis, drawing on skills from cognitive sciences, engineering sciences and the social sciences. It is aimed at researchers, academics and engineers in these fields.

Introduction xi
Frederic Vanderhaegen
Choubeila Maaoui
Mohamed Sallak
Denis Berdjag
Part 1 Perceptual Capacities
1(80)
Chapter 1 Synchronization of Stimuli with Heart Rate: a New Challenge to Control Attentional Dissonances
3(26)
Frederic Vanderhaegen
Marion Wolff
Regis Mollard
1.1 Introduction
3(1)
1.2 From human error to dissonance
4(3)
1.3 Cognitive conflict, attention and attentional dissonance
7(2)
1.4 Causes and evaluation of attentional dissonance
9(2)
1.5 Exploratory study of attentional dissonances
11(3)
1.6 Results of the exploratory study
14(8)
1.7 Conclusion
22(2)
1.8 References
24(5)
Chapter 2 System-centered Specification of Physico-physiological Interactions of Sensory Perception
29(52)
Jean-Marc Dupont
Frederique Mayer
Fabien Bouffaron
Romain Lieber
Gerard Morel
2.1 Introduction
29(2)
2.2 Situation-system-centered specification of a sensors perception interaction
31(20)
2.2.1 Multidisciplinary knowledge elements in systems engineering
32(6)
2.2.2 Interdisciplinary knowledge elements in systems engineering
38(6)
2.2.3 Specification of a situation system of interest
44(7)
2.3 Physiology-centered specification of a sensory perception interaction
51(10)
2.3.1 Multidisciplinary knowledge elements of a physico-physiological interaction
52(5)
2.3.2 Prescriptive specification of the targeted interaction of auditory perception
57(4)
2.4 System-centered specification of an interaction of sensory perception
61(11)
2.4.1 System-centered architecting specification of the targeted auditory interaction
61(4)
2.4.2 Sensing-centered specification of the targeted auditory interaction
65(2)
2.4.3 System-centered sensing specification of the targeted auditory interaction
67(5)
2.5 Conclusion
72(2)
2.6 References
74(7)
Part 2 Cooperation and Sharing of Tasks
81(70)
Chapter 3 A Framework for Analysis of Shared Authority in Complex Socio-technical Systems
83(28)
Cedric Bach
Sonja Biede
3.1 Introduction
83(3)
3.2 From the systematic approach to the systemic approach: a different approach of sharing authority and responsibility
86(2)
3.3 A framework of analysis and design of authority and responsibility
88(16)
3.3.1 Actions in a perspective of authority, responsibility and accountability
89(3)
3.3.2 Levels of authority and responsibility
92(4)
3.3.3 Patterns of actions in relation to authority and responsibility
96(7)
3.3.4 Dynamic relations between the dimensions of the analysis framework
103(1)
3.4 Management of wake turbulence in visual separation: a study of preliminary cases
104(4)
3.4.1 At the nano level
106(1)
3.4.2 At the micro level
106(1)
3.4.3 At the meso level
107(1)
3.4.4 At the macro level
107(1)
3.5 Conclusion
108(1)
3.6 References
108(3)
Chapter 4 The Design of an Interface According to Principles of Transparency
111(40)
Raissa Pokam Meguia
Serge Debernard
Christine Chauvtn
Sabine Langlois
4.1 Introduction
111(2)
4.2 State of the art
113(5)
4.2.1 Situational awareness
113(1)
4.2.2 Transparency
114(4)
4.3 Design of a transparent HCI for autonomous vehicles
118(14)
4.3.1 Presentation of the approach
118(1)
4.3.2 Definition of the principles of transparency
119(6)
4.3.3 Cognitive work analysis
125(7)
4.4 Experimental protocol
132(8)
4.4.1 Interfaces
132(2)
4.4.2 Hypotheses
134(1)
4.4.3 Participants
134(1)
4.4.4 Equipment
135(1)
4.4.5 Driving scenarios
136(2)
4.4.6 Measured variables
138(1)
4.4.7 Statistical approach
139(1)
4.5 Results and discussions
140(5)
4.5.1 Situational awareness
140(3)
4.5.2 Satisfaction of the participants
143(2)
4.6 Conclusion
145(1)
4.7 Acknowledgments
146(1)
4.8 References
146(5)
Part 3 System Reliability
151(80)
Chapter 5 Exteroceptive Fault-tolerant Control for Autonomous and Safe Driving
153(26)
Mohamed Riad Boukhari
Ahmed Chaibet
Moussa Boukhnifer
Sebastien Glaser
5.1 Introduction
153(4)
5.2 Formulation of the problem
157(1)
5.3 Fault-tolerant control architecture
158(4)
5.3.1 Vehicle dynamics modeling
159(3)
5.4 Voting algorithms
162(5)
5.4.1 Maximum likelihood voting (MLV)
162(1)
5.4.2 Weighted averages (WA)
163(1)
5.4.3 History-based weighted average (HBWA)
164(3)
5.5 Simulation results
167(8)
5.6 Conclusion
175(1)
5.7 References
176(3)
Chapter 6 A Graphical Model Based on Performance Shaping Factors for a Better Assessment of Human Reliability
179(52)
Subeer Rangra
Mohamed Sallak
Walter Schon
Frederic Vanderhaegen
6.1 Introduction
179(7)
6.2 PRELUDE methodology
186(23)
6.2.1 Theoretical framework
188(5)
6.2.2 The qualitative part
193(5)
6.2.3 The quantitative part
198(7)
6.2.4 Quantification and sensitivity analysis
205(4)
6.3 Case study
209(12)
6.3.1 Step 1, qualitative part: HFE and PSF identification
211(2)
6.3.2 Step 2, quantitative part: expert elicitation, data combination and transformation
213(3)
6.3.3 Step 3, quantification data and results
216(5)
6.4 Conclusion
221(3)
6.5 Acknowledgments
224(1)
6.6 References
224(7)
Part 4 System Modeling and Decision Support
231(54)
Chapter 7 Fuzzy Decision Support Model for the Control and Regulation of Transport Systems
233(28)
Said Hayat
Said Moh Ahmaed
7.1 Introduction
233(1)
7.2 The problem of decision support systems in urban collective transport
234(1)
7.3 Montbeliard's transport network
235(4)
7.3.1 Connections
236(1)
7.3.2 The regulation of an urban collective transport network
237(2)
7.4 Fuzzy aid decision-making model for the regulation of public transport
239(20)
7.4.1 Knowledge acquisition
240(2)
7.4.2 Decision criteria for the regulation of public transport traffic
242(1)
7.4.3 Criteria modeling
243(1)
7.4.4 The fuzzification process
244(3)
7.4.5 Generation of decisions
247(2)
7.4.6 Defuzzification
249(6)
7.4.7 Types of decisions
255(3)
7.4.8 Suggestions of regulatory strategies
258(1)
7.4.9 Impact and validation of regulatory strategies
258(1)
7.4.10 Implementation of regulatory strategies
258(1)
7.5 Conclusion
259(1)
7.6 References
259(2)
Chapter 8 The Impact of Human Stability on Human-Machine Systems: the Case of the Rail Transport
261(24)
Denis Berdjag
Frederic Vanderhaegen
8.1 Introduction
261(1)
8.2 Stability and associated notions
262(3)
8.2.1 Resilience
263(1)
8.2.2 Stability within the technological context
263(1)
8.2.3 Mathematical definition of stability in the sense of Lyapunov
264(1)
8.2.4 Lyapunov's theorem
265(1)
8.3 Stability in the human context
265(2)
8.3.1 Definition of human stability
265(2)
8.3.2 Definition of the potential of action and reaction
267(1)
8.4 Stabilizability
267(1)
8.5 Stability within the context of HMS
268(1)
8.6 Structure of the HMS in the railway context
269(4)
8.6.1 General structure
269(2)
8.6.2 The supervision module
271(1)
8.6.3 The technological system model
271(1)
8.6.4 The human operator model
272(1)
8.7 Illustrative example
273(8)
8.7.1 Experimental protocol
273(6)
8.7.2 Experimental results
279(1)
8.7.3 Remarks and discussion
280(1)
8.8 Conclusion
281(1)
8.9 References
282(3)
Part 5 Innovative Design
285(42)
Chapter 9 Development of an Intelligent Garment for Crisis Management: Fire Control Application
287(20)
Guillaume Tartare
Marie-Pierre Pacaux-Lemoine
Ludovic Koehl
Xianyi Zeng
9.1 Introduction
287(3)
9.2 Design of an intelligent garment for firefighters
290(4)
9.2.1 Wearable system architecture
290(2)
9.2.2 Choice of electronic components
292(1)
9.2.3 Textile design and sensor integration
292(2)
9.3 Physiological signal processing
294(5)
9.3.1 Extraction of respiratory waveforms
294(1)
9.3.2 Automatic heart rate detection
295(2)
9.3.3 Heart rate variability
297(1)
9.3.4 Analysis of experimental results
297(2)
9.4 Firefighter-robot cooperation, using intelligent clothing
299(4)
9.4.1 Robots
301(1)
9.4.2 Human supervisor interface
302(1)
9.5 Conclusion
303(1)
9.6 References
304(3)
Chapter 10 Active Pedagogy for Innovation in Transport
307(20)
Frederic Vanderhaegen
10.1 Introduction
307(1)
10.2 Analysis of a railway accident and system design
308(3)
10.3 Analysis of use of a cruise control system
311(3)
10.4 Simulation of a collision avoidance system use
314(2)
10.5 Eco-driving assistance
316(3)
10.6 Towards support for the innovative design of transport systems
319(2)
10.7 Conclusion
321(1)
10.8 References
322(5)
Conclusion 327(2)
Frederic Vanderhaegen
Choubeila Maaoui
Mohamed Sallak
Denis Berdjag
List of Authors 329(4)
Index 333
Frédéric Vanderhaegen is a Professor at Université Polytechnique Hauts-de-France, and a researcher of the LAMIH laboratory.

Choubeila Maaoui is a Professor at the University of Lorraine, France, and a member of the LCOMS laboratory and IFRATH.

Mohamed Sallak is a senior lecturer at the Compiègne University of Technology, France and a member of the Heudiasyc laboratory.

Denis Berdjag is a senior lecturer at Université Polytechnique Hauts-de-France, and a researcher of the LAMIH laboratory.