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
