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Other titles in the Wiley Series in Systems Engineering and Management series:
Humans and Automation: System Design and Research Issues (Wiley Series in Systems Engineering and Management)by Thomas B. Sheridan
Synopses & Reviews
Human factors, also known as human engineering or human factors engineering, is the application of behavioral and biological sciences to the design of machines and human-machine systems. Automation refers to the mechanization and integration of the sensing of environmental variables, data processing and decision making and mechanical action. This book deals with all the issues involved in human-automation systems from design to control and performance of both humans and machines.
Book News Annotation:
Sheridan (engineering and applied psychology, Massachusetts Institute of Technology) provides a succinct tutorial for professionals and students seeking to understand the many human interactive aspects of automation. The volume's ten chapters are arranged into three parts addressing background issues; the design of human-automation systems from analysis and design through supervisory control and simulation, testing, and evaluation; and generic research issues including technical and social issues and system management and education. Appendices present elements of the most important normative models and sample problems and solutions on normative models.
Annotation c. Book News, Inc., Portland, OR (booknews.com)
Includes bibliographical references (p. 245-256) and indexes.
Table of Contents
PART I: BACKGROUND.
Human Interaction with Automation in Various Contexts.
PART II: DESIGN OF HUMAN-AUTOMATION SYSTEMS.
The Analysis and Design Process.
Human Performance in Relation to Automation.
Displays and Decision Aids.
Simulation, Testing, and Evaluation.
PART III: GENERIC RESEARCH ISSUES.
Technical Issues of Humans and Automation.
Social Issues of Humans and Automation.
System Management and Education.
Appendix A: Elements of the Most Important Normative Models.
Appendix B: Sample Problems and Solutions on Normative Models.
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