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Summary
Summary
This book describes the capabilities and limitations of the human operator--both physical and mental--and how these should be used to guide the design of systems with which people interact. General principles of human-system interaction and design are presented, and included are specific examples of successful and unsuccessful interactions. It links theories of human performance that underlie the principles with real-world experience, without a heavy engineering-oriented perspective. Topics include design and evaluation methods; different systems such as visual, auditory, tactile, vestibular, automated, and transportation; cognition, decision-making, and aesthetics; physiology; and stress, safety, accidents, and human error. An excellent reference for personnel and managers in the workplace.
Excerpts
Excerpts
We wrote this book because we saw a need for engineers and system designers and other professionals to understand how knowledge of human strengths and limitations, both mental and physical, can lead to better system design, more effective training of the user, and better assessment of the usability of a system. The knowledge and methods to accomplish these goals are embodied in the study of human factors engineering. As we point out in the early chapters, a cost-benefit analysis of human factors applications in system design usually provides a favorable evaluation of those applications. Our intention in this book is to focus on the clear and intuitive explanation of human factors principles. We illustrate these principles with real-world design examples and, where relevant, show how these principles are based on understanding of the human's psychological, biological, and physical characteristics to give the reader an understanding of why the principles are formulated. Because of our focus on principles, we intentionally do not spend a great deal of time addressing psychological theory or research paradigms and experiments. We trust that the reader will know that the principles we describe are indeed based on valid research conclusions, and where relevant we provide citations as to where that research can be examined. Also, we do not expect that this will be a stand-alone reference manual for applying human factors in design. Many specific numbers, values, and formulae, necessary for fabricating systems with human limitations in mind, were not included in this text in the interest of space. However, we point to ample references where designers can proceed to find these details. Because of the way we have structured the book, emphasizing design principles and methodologies over theory and research, our primary target audience is the engineering undergraduate, who may well be participating in the design process. Hence we do not assume that the reader will necessarily have had an introductory course in psychology, and so we try to present some of the necessary psychological fundamentals. We also believe, however, that the book will be useful for applied psychology or undergraduate-level engineering psychology courses within a psychology department. This usefulness derives in part, because the book demonstrates how many aspects of psychological science are relevant to the effective design of systems in the workplace and on the highway. Human factors is a growing field. In many small industries, personnel are assigned to the position of human factors engineer why have no formal training in the discipline. Thus we hope that the book will not only reach the academic classroom in both engineering colleges and psychology departments but will also be available as a reference for personnel and managers in the workplace. We believe that the strengths of this book lie in its relatively intuitive and readable style, which attempts to illustrate principles clearly, with examples, and without excessive detail and which points to references where more information can be obtained. We have also tried to strike a balance between presenting the human factors associated with different aspects of human performance on the one hand (e.g., physical limitations, display processing, memory failures) and particularly important domains of current applications on the other. For example, there are separate chapters devoted to the human factors of transportation systems and of human computer interaction. In the second edition, we have not made fundamental changes to content or organization. Professor John Lee of the University of Iowa Industrial Engineering Department has been added as a co-author. He is an expert in automation and highway safety research. In addition to addressing some of the shortcomings of the previous edition, revealed by its users, we have included new sections on a variety of topics such as driver distraction, organizational aspects of human error, human factors applications to law enforcement, meta cognition, and task management. We have also increased the amount of cross referencing between chapters, to highlight the extent to which human factors is an integrated science. A single integrated reference list is compiled at the end of the chapter. Excerpted from Introduction to Human Factors Engineering by Christopher D. Wickens, John Lee, Yili D. Liu, Sallie Gordon-Becker All rights reserved by the original copyright owners. Excerpts are provided for display purposes only and may not be reproduced, reprinted or distributed without the written permission of the publisher.Table of Contents
Preface | p. xvii |
Chapter 1 Introduction to Human Factors | p. 1 |
What Is the Field of Human Factors? | p. 1 |
An Overview of the Book | p. 8 |
Chapter 2 Research Methods | p. 10 |
Introduction to Research Methods | p. 10 |
Experimental Research Methods | p. 14 |
Descriptive Methods | p. 24 |
Ethical Issues | p. 28 |
Chapter 3 Design and Evaluation Methods | p. 30 |
Overview of Design and Evaluation | p. 31 |
Front-End Analysis | p. 37 |
Iterative Design and Testing | p. 50 |
Final Test and Evaluation | p. 59 |
Conclusion | p. 60 |
Chapter 4 Visual Sensory Systems | p. 61 |
The Stimulus: Light | p. 62 |
The Receptor System: The Eyeball and the Optic Nerve | p. 66 |
Sensory Processing Limitations | p. 69 |
Bottom-Up Versus Top-Down Processing | p. 74 |
Depth Perception | p. 75 |
Visual Search and Detection | p. 78 |
Detection | p. 82 |
Discrimination | p. 87 |
Absolute Judgment | p. 89 |
Conclusion | p. 89 |
Chapter 5 Auditory, Tactile, and Vestibular System | p. 91 |
Sound: The Auditory Stimulus | p. 91 |
The Ear: The Sensory Transducer | p. 94 |
The Auditory Experience | p. 95 |
Alarms | p. 97 |
Sound Localization | p. 103 |
The Sound Transmission Problem | p. 104 |
Noise Revisited | p. 110 |
Noise Remediation | p. 112 |
The Other Senses | p. 116 |
Conclusion | p. 119 |
Chapter 6 Cognition | p. 120 |
Information Processing Models | p. 121 |
Selective Attention | p. 122 |
Perception | p. 124 |
Working Memory | p. 128 |
Long-Term Memory | p. 134 |
Situation Awareness | p. 144 |
Problem Solving and Troubleshooting | p. 146 |
Planning and Scheduling | p. 147 |
Metacognition and Effort | p. 148 |
Conclusion | p. 155 |
Chapter 7 Decision Making | p. 156 |
Definition of Decision Making | p. 157 |
Decision-Making Models | p. 157 |
Heuristics and Biases | p. 162 |
Dependency of Decision Making on the Decision Context | p. 170 |
Factors Affecting Decision-Making Performance: An Integrated Description of Decision Making | p. 173 |
Improving Human Decision Making | p. 177 |
Conclusion | p. 183 |
Chapter 8 Displays | p. 184 |
Ways of Classifying Displays | p. 185 |
Thirteen Principles of Display Design | p. 186 |
Alerting Displays | p. 193 |
Labels | p. 193 |
Monitoring | p. 195 |
Multiple Displays | p. 198 |
Navigation Displays and Maps | p. 208 |
Quantitative Information Displays: Tables and Graphs | p. 213 |
Conclusion | p. 217 |
Chapter 9 Control | p. 218 |
Principles of Response Selection | p. 219 |
Discrete Control Activation | p. 221 |
Positioning Control Devices | p. 222 |
Verbal and Symbolic Input Devices | p. 227 |
Voice Input | p. 229 |
Continuous Control and Tracking | p. 231 |
Remote Manipulation or Telerobotics | p. 240 |
Chapter 10 Engineering Anthropometry and Workspace Design | p. 243 |
Human Variability and Statistics | p. 245 |
Anthropometric Data | p. 248 |
General Principles for Workspace Design | p. 258 |
Design of Standing and Seated Work Areas | p. 266 |
Conclusion | p. 268 |
Chapter 11 Biomechanics of Work | p. 269 |
The Musculoskeletal System | p. 270 |
Biomechanical Models | p. 273 |
Low-Back Problems | p. 276 |
Upper-Extremity Cumulative Trauma Disorders | p. 289 |
Conclusion | p. 296 |
Chapter 12 Work Physiology | p. 297 |
Muscle Structure and Metobolism | p. 298 |
Circulatory and Respiratory Systems | p. 302 |
Energy Cost of Work and Workload Assessment | p. 308 |
Physical Work Capacity and Whole-Body Fatigue | p. 314 |
Conclusion | p. 322 |
Chapter 13 Stress and Workload | p. 324 |
Environmental Stressors | p. 326 |
Psychological Stressors | p. 329 |
Life Stress | p. 333 |
Workload Overload | p. 334 |
Fatigue and Sleep Disruption | p. 340 |
Conclusion | p. 349 |
Chapter 14 Safety, Accidents, and Human Error | p. 351 |
Introduction to Safety and Accident Prevention | p. 352 |
Safety Legislation | p. 353 |
Factors That Cause or Contribute to Accidents | p. 356 |
Hazard Identification and Control | p. 369 |
Safety Management | p. 375 |
Risk-Taking and Warnings | p. 378 |
Conclusion | p. 382 |
Chapter 15 Human-Computer Interaction | p. 383 |
The Trouble with Computers and Software Design | p. 385 |
Software Design Cycle: Understand, Design, and Evaluate | p. 386 |
Understand System and User Characteristics | p. 387 |
Design Using Theories and Models | p. 390 |
Design to Support Mental Models with Conceptual Models and Metaphors | p. 395 |
Design Using Principles and Guidelines | p. 396 |
Design of User Support | p. 404 |
Evaluate with Usability Heuristics | p. 406 |
Evaluate with Usability Tests and Metrics | p. 406 |
Information Technology | p. 410 |
Conclusion | p. 417 |
Chapter 16 Automation | p. 418 |
Why Automate? | p. 419 |
Problems in Automation | p. 422 |
Function Allocation Between the Person and Automation | p. 428 |
Human-Centered Automation | p. 430 |
Supervisory Control and Automation-Based Complex Systems | p. 433 |
Conclusion | p. 435 |
Chapter 17 Transportation Human Factors | p. 436 |
Automative Human Factors | p. 437 |
Automotive Automation | p. 455 |
Public Ground Transportation | p. 458 |
Conclusion | p. 465 |
Chapter 18 Selection and Training | p. 466 |
Personnel Selection | p. 467 |
Performance Support and Job Aids | p. 473 |
Supporting People with Disabilities | p. 476 |
Training | p. 477 |
Training Program Design | p. 487 |
Conclusion | p. 491 |
Chapter 19 Social Factors | p. 492 |
Types of Systems | p. 493 |
Groups and Teams | p. 494 |
Characteristics of Groups, Teams, and Crews | p. 494 |
Computer-Supported Cooperative Work | p. 500 |
Macroergonomics and Industrial Intervention | p. 503 |
Conclusion | p. 505 |
References | p. 507 |
Author Index | p. 573 |
Subject Index | p. 581 |