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Designing Human-machine Cooperation Systems

1. Aufl.

von: Patrick Millot
168,99 €
Verlag:	Wiley
Format:	PDF
Veröffentl.:	09.07.2014
ISBN/EAN:	9781118984369
Sprache:	englisch
Anzahl Seiten:	416

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Titelbeschreibung

This book, on the ergonomics of human−machine systems, is aimed at engineers specializing in informatics, automation, production or robotics, who are faced with a significant dilemma during the conception of human−machine systems. On the one hand, the human operator guarantees the reliability of the system and has been known to salvage numerous critical situations through an ability to reason in unplanned, imprecise and uncertain situations; on the other hand, the human operator can be unpredictable and create disturbances in the automated system. The first part of the book is dedicated to the methods of human-centered design, from three different points of view, the various chapters focusing on models developed by human engineers and functional models to explain human behavior in their environment, models of cognitive psychology and models in the domain of automobile driving. Part 2 develops the methods of evaluation of the human−machine systems, looking at the evaluation of the activity of the human operator at work and human error analysis methods. Finally, Part 3 is dedicated to human−machine cooperation, where the authors show that a cooperative agent comprises a know-how and a so-called know-how-to-cooperate and show the way to design and evaluate that cooperation in real industrial contexts.

Inhaltsverzeichnis

FOREWORD xi Bernard DUBUISSON INTRODUCTION xv Patrick MILLOT PART 1. DESIGN OF HUMAN–MACHINE SYSTEMS 1 CHAPTER 1. HUMAN-CENTERED DESIGN 3 Patrick MILLOT 1.1. Introduction 3 1.2. The task–system–operator triangle 4 1.2.1. Controlling the diversity of the tasks depending on the situation 4 1.2.2. Managing the complexity of the system 9 1.2.3. Managing human complexity 10 1.3. Organization of the human–machine system 21 1.3.1. The ambiguous role of the operator in automated systems 21 1.3.2. Allocating humans with their proper role 23 1.3.3. Sharing tasks and functions between humans and machines 24 1.4. Human-centered design methodology 33 1.5. Conclusion 35 1.6. Bibliography 36 CHAPTER 2. INTEGRATION OF ERGONOMICS IN THE DESIGN OF HUMAN–MACHINE SYSTEMS 43 Christine CHAUVIN and Jean-Michel HOC 2.1. Introduction 43 2.2. Classic and partial approaches of the system 46 2.2.1. Machine-centered approach 46 2.2.2. Activity and human-based approaches 49 2.3. The central notion of performance (Long, Dowell and Timmer) 52 2.4. An integrated approach: cognitive work analysis 59 2.4.1. Domain analysis 60 2.4.2. Task analysis 68 2.4.3. Analysis of information-processing strategies 71 2.4.4. Socio-organizational approach 73 2.4.5. Analysis of competences 76 2.4.6. Some general remarks on the integrated approach 78 2.5. Conclusion 79 2.6. Bibliography 81 CHAPTER 3. THE USE OF ACCIDENTS IN DESIGN: THE CASE OF ROAD ACCIDENTS 87 Gilles MALATERRE, Hélène FONTAINE and Marine MILLOT 3.1. Accidents, correction and prevention 87 3.2. Analysis of accidents specific to the road 89 3.2.1. Road accidents as a statistical unit 89 3.2.2. Accidents as diagnosis tools 91 3.3. Need-driven approach 93 3.3.1. Definition of needs from the analysis of accidents 93 3.3.2. Particular case of urban areas 96 3.4. A priori analyses 98 3.5. What assistance for which needs? 101 3.5.1. Collision with a stationary vehicle 102 3.5.2. The struck vehicle is waiting to turn on an NR or a DR 103 3.5.3. Catching up with a slower vehicle 103 3.5.4. Dense lines: major incident at the front 105 3.5.5. Dense line: violent accident happening just in front 106 3.5.6. Dense line: sudden slowing 106 3.6. Case of cooperative systems 107 3.7. Using results in design 108 3.7.1. Detection of a slower user 110 3.7.2. Detection of several stopped vehicles blocking all the lanes 110 3.7.3. Detection of a stopped vehicle completely or partially obstructing a road 111 3.7.4. Detection of a vehicle preparing to turn left 111 3.7.5. Detection of light two-wheelers circulating on the right-hand side of the road 112 3.7.6. Detection of a disturbance at the front of the line 112 3.7.7. Prevention of wild insertions 113 3.7.8. Prevention of frontal collisions 113 3.8. Conclusion 113 3.9. Bibliography 114 PART 2. EVALUATION MODELS OF HUMAN–MACHINE SYSTEMS 119 CHAPTER 4. MODELS BASED ON THE ANALYSIS OF HUMAN BEHAVIOR: EXAMPLE OF THE DETECTION OF HYPO-VIGILANCE IN AUTOMOBILE DRIVING 121 Jean-Christophe POPIEUL, Pierre LOSLEVER and Philippe SIMON 4.1. Introduction 121 4.2. The different models used in detection and diagnosis 122 4.2.1. Methods based on knowledge models 122 4.2.2. Classification methods: pattern recognition 125 4.3. The case of human–machine systems 135 4.4. Example of application: automobile driving 138 4.4.1. Automobile driving 138 4.4.2. Difficulties with diagnosing losses in vigilance 141 4.4.3. Approach applied 143 4.5. Conclusion 162 4.6. Bibliography 165 CHAPTER 5. EVALUATION OF HUMAN RELIABILITY IN SYSTEMS ENGINEERING 171 Frédéric VANDERHAEGEN, Peter WIERINGA and Pietro Carlo CACCIABUE 5.1. Introduction 171 5.2. Principles of evaluating human reliability 173 5.2.1. Human reliability versus human error 173 5.2.2. General approach for the analysis of human reliability 174 5.2.3. Synthetic review of methods 176 5.2.4. Discussion 178 5.3. Analysis of dynamic reliability 180 5.3.1. The DYLAM method 180 5.3.2. The HITLINE method 183 5.4. Analysis of altered or added tasks 187 5.4.1. Principles of the ACIH method 187 5.4.2. Acceptability and evaluation of human behaviors 188 5.4.3. Example of application 191 5.5. Perspectives for the design of a safe system 194 5.6. Conclusion 197 5.7. Bibliography 198 PART 3. HUMAN–MACHINE COOPERATION 205 CHAPTER 6. CAUSAL REASONING: A TOOL FOR HUMAN–MACHINE COOPERATION 207 Jacky MONTMAIN 6.1. Introduction 207 6.2. Supervision 208 6.3. Qualitative model 214 6.3.1. The origins 214 6.3.2. Current models 216 6.3.3. The evolution of qualitative reasoning (QR) 217 6.4. Causal graphs and event-based simulation 220 6.4.1. The causal graph 222 6.4.2. Evolution and event 224 6.4.3. Simulation 227 6.5. Hierarchy of behavior models 235 6.5.1. Definition of a graph hierarchy 236 6.5.2. Creation of the hierarchy 237 6.5.3. Online construction of graphs 238 6.6. Fault filtering 242 6.6.1. Causality and digital simulators 242 6.6.2. Generation of residuals and causal structure 247 6.6.3. Interpretation of the errors for the isolation and filtering of faults 248 6.6.4. Advantages for supervision 252 6.7. Discussion and conclusion 256 6.8. Bibliography 261 CHAPTER 7. HUMAN–MACHINE COOPERATION: A FUNCTIONAL APPROACH 273 Jean-Michel HOC 7.1. Introduction 273 7.2. A functional approach to cooperation 275 7.3. Cooperation in actions 278 7.4. Cooperation in planning 280 7.5. Meta-cooperation 281 7.6. Conclusion 282 7.7. Bibliography 283 CHAPTER 8. THE COMMON WORK SPACE FOR THE SUPPORT OF SUPERVISION AND HUMAN–MACHINE COOPERATION 285 Serge DEBERNARD, Bernard RIERA and Thierry POULAIN 8.1. Introduction 285 8.2. Human–machine cooperation 287 8.2.1. Definitions of human–machine cooperation 287 8.2.2. Characterization of cooperation activities 289 8.2.3. Common work space: human–machine cooperation medium 292 8.3. Application in air traffic control 294 8.3.1. Dynamic allocation of tasks 295 8.3.2. Air traffic control 296 8.3.3. First studies: SPECTRA projects 297 8.3.4. The AMANDA project 303 8.4. Application to the process of nuclear combustibles reprocessing 305 8.4.1. Introduction 305 8.4.2. Human supervision tasks 307 8.4.3. Design methodology of supervision systems adapted to humans 310 8.4.4. Improvement of the supervision and diagnosis system 311 8.4.5. Approximate reasoning 313 8.4.6. The use of cognitive principles in the design of supervision tools 317 8.4.7. An example of an advanced supervision system (ASS) 323 8.5. Conclusion 332 8.6. Acronyms 333 8.7. Bibliography 334 CHAPTER 9. HUMAN–MACHINE COOPERATION AND SITUATION AWARENESS 343 Patrick MILLOT and Marie-Pierre PACAUX-LEMOINE 9.1. Introduction 343 9.2. Collective situation awareness 344 9.3. Structural approaches of human–machine cooperation 346 9.3.1. Dynamic allocation of tasks: horizontal cooperation structure 347 9.3.2. Vertical structure for cooperation 348 9.3.3. Multilevel structure for the dynamic allocation of tasks 351 9.4. Human–machine cooperation: a functional approach 353 9.4.1. Cooperative agents, forms of cooperation 353 9.4.2. Organization and cooperation 356 9.4.3. Human factors activating or inhibiting cooperation 358 9.4.4. Multilevel cooperative organization 359 9.4.5. Common work space (CWS) 360 9.5. Common work space for team-SA 367 9.6. Conclusion 369 9.7. Bibliography 370 CONCLUSION 375 Patrick MILLOT LIST OF AUTHORS 379 INDEX 381

Autorenportrait

Patrick Millot has been Full Professor at the University of Valenciennes in France since 1989. He conducts research on Automation Sciences, Artificial Intelligence and Human-Machine Systems (HMS). He is the author of approximately 200 publications and collective books. He has led several regional, national and international projects on supervisory control and transport safety.