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Book Description

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.

Table of Contents

  1. Cover
  2. Introduction
  3. PART 1: Perceptual Capacities
    1. 1 Synchronization of Stimuli with Heart Rate: a New Challenge to Control Attentional Dissonances
      1. 1.1. Introduction
      2. 1.2. From human error to dissonance
      3. 1.3. Cognitive conflict, attention and attentional dissonance
      4. 1.4. Causes and evaluation of attentional dissonance
      5. 1.5. Exploratory study of attentional dissonances
      6. 1.6. Results of the exploratory study
      7. 1.7. Conclusion
      8. 1.8. References
    2. 2 System-centered Specification of Physico–physiological Interactions of Sensory Perception
      1. 2.1. Introduction
      2. 2.2. Situation-system-centered specification of a sensory perception interaction
      3. 2.3. Physiology-centered specification of a sensory perception interaction
      4. 2.4. System-centered specification of an interaction of sensory perception
      5. 2.5. Conclusion
      6. 2.6. References
  4. PART 2: Cooperation and Sharing of Tasks
    1. 3 A Framework for Analysis of Shared Authority in Complex Socio-technical Systems
      1. 3.1. Introduction
      2. 3.2. From the systematic approach to the systemic approach: a different approach of sharing authority and responsibility
      3. 3.3. A framework of analysis and design of authority and responsibility
      4. 3.4. Management of wake turbulence in visual separation: a study of preliminary cases
      5. 3.5. Conclusion
      6. 3.6. References
    2. 4 The Design of an Interface According to Principles of Transparency
      1. 4.1. Introduction
      2. 4.2. State of the art
      3. 4.3. Design of a transparent HCI for autonomous vehicles
      4. 4.4. Experimental protocol
      5. 4.5. Results and discussions
      6. 4.6. Conclusion
      7. 4.7. Acknowledgments
      8. 4.8. References
  5. PART 3: System Reliability
    1. 5 Exteroceptive Fault-tolerant Control for Autonomous and Safe Driving
      1. 5.1. Introduction
      2. 5.2. Formulation of the problem
      3. 5.3. Fault-tolerant control architecture
      4. 5.4. Voting algorithms
      5. 5.5. Simulation results
      6. 5.6. Conclusion
      7. 5.7. References
    2. 6 A Graphical Model Based on Performance Shaping Factors for a Better Assessment of Human Reliability
      1. 6.1. Introduction
      2. 6.2. PRELUDE methodology
      3. 6.3. Case study
      4. 6.4. Conclusion
      5. 6.5. Acknowledgments
      6. 6.6. References
  6. PART 4: System Modeling and Decision Support
    1. 7 Fuzzy Decision Support Model for the Control and Regulation of Transport Systems
      1. 7.1. Introduction
      2. 7.2. The problem of decision support systems in urban collective transport
      3. 7.3. Montbéliard’s transport network
      4. 7.4. Fuzzy aid decision-making model for the regulation of public transport
      5. 7.5. Conclusion
      6. 7.6. References
    2. 8 The Impact of Human Stability on Human–Machine Systems: the Case of the Rail Transport
      1. 8.1. Introduction
      2. 8.2. Stability and associated notions
      3. 8.3. Stability in the human context
      4. 8.4. Stabilizability
      5. 8.5. Stability within the context of HMS
      6. 8.6. Structure of the HMS in the railway context
      7. 8.7. Illustrative example
      8. 8.8. Conclusion
      9. 8.9. References
  7. PART 5 Innovative Design
    1. 9 Development of an Intelligent Garment for Crisis Management: Fire Control Application
      1. 9.1. Introduction
      2. 9.2. Design of an intelligent garment for firefighters
      3. 9.3. Physiological signal processing
      4. 9.4. Firefighter–robot cooperation, using intelligent clothing
      5. 9.5. Conclusion
      6. 9.6. References
    2. 10 Active Pedagogy for Innovation in Transport
      1. 10.1. Introduction
      2. 10.2. Analysis of a railway accident and system design
      3. 10.3. Analysis of use of a cruise control system
      4. 10.4. Simulation of a collision avoidance system use
      5. 10.5. Eco-driving assistance
      6. 10.6. Towards support for the innovative design of transport systems
      7. 10.7. Conclusion
      8. 10.8. References
  8. Conclusion
  9. List of Authors
  10. Index
  11. End User License Agreement
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