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Analysis, design and evaluation of man-machine systems 1995 : a postprint volume from the Sixth IFAC/IFIP/IFORS/IEA Symposium, Cambridge, Massachusetts, USA, 27-29 June 1995 /

The series of IFAC Symposia on Analysis, Design and Evaluation of Man-Machine Systems provides the ideal forum for leading researchers and practitioners who work in the field to discuss and evaluate the latest research and developments. This publication contains the papers presented at the 6th IFAC...

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Bibliographic Details
Corporate Authors: Elsevier Science & Technology; International Federation of Automatic Control; IFAC/IFIP/IFORS/IEA Conference on Analysis, Design, and Evaluation of Man-Machine Systems Cambridge, Mass
Group Author: Sheridan, Thomas B
Published: Published for the International Federation of Automatic Control by Pergamon,
Publisher Address: Oxford ; Tarrytown, N.Y. :
Publication Dates: 1995.
Literature type: eBook
Language: English
Edition: First edition.
Series: IFAC Postprint Volume
Subjects:
Human-machine systems > Congresses
Mensch-Maschine-System
Human-machine systems
Cambridge <Mass., 1995>
Conference papers and proceedings
Electronic books
Online Access: http://www.sciencedirect.com/science/book/9780080423708
Summary: The series of IFAC Symposia on Analysis, Design and Evaluation of Man-Machine Systems provides the ideal forum for leading researchers and practitioners who work in the field to discuss and evaluate the latest research and developments. This publication contains the papers presented at the 6th IFAC Symposium in the series which was held in Cambridge, Massachusetts, USA.
Carrier Form: 1 online resource (2 volumes (xii, 736 pages)) : illustrations.
Bibliography: Includes bibliographical references and index.
ISBN: 9781483296982
1483296989
Index Number: TA167
CLC: TP11-532
Contents: Front Cover; Analysis, Design and Evaluation of Man-Machine Systems 1995; Copyright Page; Table of Contents; CHAPTER 1. A NEW HUMAN-COMPUTER-INTERFACE FOR HIGH-SPEED-MAGLEV TRAIN TRAFFIC SUPERVISION; 1. INTRODUCTION; 2. EXISTING INTERFACES; 3. INCONVENIENCE OF EXISTING HCIs; 4. A NEW DESIGN APPROACH; 5. DESIGN PROCESS; 6. USE OF AN INTELLIGENT ASSISTANT SYSTEM; 7. PRESENTATION OF NEW DESIGN IDEAS; 8. CONFLICT DIAGRAM; 9. DISPATCHERS WORKING AREA; 10. CONCLUSION; AKNOWLEDGEMENTS; REFERENCES; CHAPTER 2. ADVANTAGES OF MASS-DATA-DISPLAYS IN PROCESS S & C; 1. INTRODUCTON.
2. THE ""MASS-DATA-DISPLAY"" (MDD)3. EXPERIMENTS; 4. INTEGRATION OF MDD'S IN CONTROL ROOM DESIGN; 5. CONCLUSION; REFERENCES; CHAPTER 3. A GENERIC TASK FRAMEWORK FOR INTERFACE ANALYSIS AND DESIGN IN PROCESS CONTROL; 1. INTRODUCTION; 2. DEFINITION OF THE GTs; 3. THE MAD FORMALISM; 4. EXPRESSING THE GTs' SYNTAX WITH MAD; 5. EXAMPLE APPLICATION; 6. CONCLUSION; 7. ACKNOWLEDGEMENTS; 8. REFERENCES; CHAPTER 4. NEW VISUALISATION TECHNIQUES FOR INDUSTRIAL PROCESS CONTROL; 1. INTRODUCTION; 2. CEMENT MILLING PLANT; 3. MULTILEVEL FLOW MODELLING; 4. MFM MODEL FOR THE CEMENT MILL.
5. ecological interface design6. energy and mass management with eid; 7. design of the mmi; 8. implementation; 9. discussion; 10. references; chapter 5. a proposal to define and to treat alarms in a supervision room; 1. introducton; 2. the human operator in a supervision room; 3. the design of supervision imageries; 4. alarms; 5. the inconveniences of classical alarms processing systems; 6. specifications for the design and the processing of alarms; 7. alarm design and fmea; 8. conclusion; 9. references; chapter 6. reinforcement learning and dynamic programming; 1. introduction.
2. the conventional approach3. approximating dynamic programming; 4. conclusion; 5. acknowledgements; 6. references; chapter 7. the modular organization of motor control: what frogs can teach us about adaptive learning; 1. introduction; 2. the modular organization of the frog's spinal cord; 3. endpoint summation and kinematic redundancy; 4. field approximation; 5. adaptive control; 6. conclusion; 7. references; chapter 8. trajectory learning and control models: from human to robotic arms; 1. introduction; 2. trajectory planning and modification; 3. motor execution and adaptation.
4. neural network models of motor learning5. conclusion; 6. references; chapter 9. learning to optimize performance: lessons from a neural control system; 1. introduction; 2. cognitive and control processes in the brain; 3. the respiratory system as a human-machine system; 4. optimization behavior of the respiratory system; 5. reinforcement learning in respiratory control; conclusions; acknowledgement; references; chapter 10. perception of coherence of visual and vestibular velocity during rotational motion; 1. introduction; 2. methods; 3. the concept of pmc; 4. results; 5. discussion.

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