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--Forming connections between human performance and design
Engineering Psychology and Human Performance, 4e examines human-machine interaction. The book is organized directly from the psychological perspective of human information processing. The chapters generally correspond to the flow of information as it is processed by a human being--from the senses, through the brain, to action--rather than from the perspective of system components or engineering design concepts.
This book is ideal for a psychology student, engineering student, or actual practitioner in engineering psychology, human performance, and human factors
Learning Goals
Upon completing this book, readers should be able to:
- Identify how human ability contributes to the design of technology.
- Understand the connections within human information processing and human performance.
- Challenge the way they think about technology’s influence on human performance.
- show how theoretical advances have been, or might be, applied to improving human-machine interaction
0205896197 / 9780205896196 Engineering Psychology & Human Performance Plus MySearchLab with eText -- Access Card Package
Package consists of:
0205021980 / 9780205021987 Engineering Psychology & Human Performance
0205239927 / 9780205239924 MySearchLab with Pearson eText -- Valuepack Access Card
Table of Contents:
In this Section:
1) Brief Table of Contents
2) Full Table of Contents
BRIEF TABLE OF CONTENTS:
Chapter 1: Introduction to Engineering Psychology and Human Performance
Chapter 2: Signal Detection, Information Theory and Absolute Judgment
Chapter 3: Attention in Perception and Display Space
Chapter 4: Spatial Displays
Chapter 5: Spatial Cognition, Navigation and Manual Control
Chapter 6: Language and Communications
Chapter 7: Memory and Training
Chapter 8: Decision Making
Chapter 9: Selection of Action
Chapter 10: Attention, Time sharing and Workload
Chapter 11: Mental Workload, Stress, and Individual Differences: Cognitive and Neuroergonomic Perspectives
Chapter 12: Automation
Chapter 13: Epilogue
FULL TABLE OF CONTENTS:
Chapter 1: Introduction to Engineering Psychology and Human Performance
Definitions
Research Methods
A model of Human Information Processing
Pedagogy of book
Chapter 2: Signal Detection, Information Theory and Absolute Judgment
Overview
Signal Detection Theory
The ROV Curve
Fuzzy Signal Detection Theory
Vigilance
Absolute Judgment
Transition
Supplement: Information Theory
Chapter 3: Attention in perception and Display Space
Overview
Selective Visual Attention
Parallel Processing and Divided Attention
Attention in the Auditory Modality
Transition
Chapter 4: Spatial Displays
Graphical Perception
Dials, Meters, and Indicators: Display Compatibility
The Third Dimension: Egomotion, Depth, and Distance
Spatial Audio and Tactile Displays
Transition
Chapter 5: Spatial Cognition, Navigation and Manual Control
Frames of Reference
Applications to Map Design
Environmental Design
Information Visualization
Visual Momentum
Tracking, Travel and Continuous Manual Control
Virtual Environments and Augmented Reality
Transition
Chapter 6: Language and Communications
Overview
The Perception of Print
Applications of Unitization and Top-Down Processing
Recognition of Objects
Comprehension
Multimedia Instructions
Product Warnings
Speech Perception
Transition: Perception and Memory
Chapter 7: Memory and Training
Overview
Working Memory
Interference and Confusion
Expertise and Memory
Everyday Memory
Situation Awareness
Planning and Problem Solving
Training
Long Term Memory: Representation, Organization, and Retrieval
Transition
Chapter 8: Decision Making
Introduction
Classes and Features of Decision Making
An Information Processing Model of Decision Making
What is “Good” Decision Making
Diagnosis and Situation Assessment in Decision Making
Choice of Action
Effort and Meta Cognition
Experience & Expertise in Decision Making
Improving Decision making
Conclusion and Transition
Chapter 9: Selection of Action
Variables Influence Simple and Choice RT
Variables Influencing Choice Reaction Time
Stages in Response Time
Serial Responses
Errors
Transition
Chapter 10: Attention, Time sharing and Workload
Overview
Effort and Resource Demand
Multiplicity
Executive Control, Switching and Resource Management
Distracted Driving
Task Similarity, Confusion and Crosstalk
Individual Differences in Time Sharing
Conclusion and Transition
Chapter 11: Mental Workload, Stress, and Individual Differences: Cognitive and Neuroergonomic Perspectives
Introduction
The Neuroergonomic Approach
Mental Workload
Stress, Physiological Arousal, and Human Performance
Individual Differences
Conclusion and Transition
Chapter 12: Automation
Introduction
Examples and Purposes of Automation
Automated-Related Incidents and Accidents
Levels and Stages of Automation
Automation Complexity
Feedback on Automation States and Behaviors
Trust in and Dependence on Automation
Adaptive Automation
Designing for Effective Human-Automation Interaction
Conclusion
Chapter 13: Epilogue
Subject Index
Name Index
About the Author :
Chris Wickens is Professor Emeritus from the University of Illinois Department of Psychology , Adjunct Professor University of Colorado Department of Psychology, and Senior Scientist at AlionSciences Company Boulder, Colorado. He taught engineering and experimental psychology, human factors engineering and aviation psychology for 30 years at the University of Illinois, where he supervised 38 PhD students. For 20 years he was also head of the Aviation Human Factors program at Illinois. He has won teaching awards including the Psi-Chi award for excellence in undergraduate teaching, and the Paul M Fitts award from the Human Factors & Ergonomics Society for outstanding contributions to the education and training of human factors specialists. He has also received the annual FAA Excellence in Aviation Award. He is a Fellow of the Human Factors Society. His main research interests are in applied attention theory and human performance modeling. He is an avid mountain climber.
Justin G. Hollands is a Defense Scientist and Senior Advisor to the Human Systems Integration Section at Defense Research and Development Canada - Toronto. He is also an Adjunct Professor of Mechanical and Industrial Engineering at the University of Toronto. From 1994 to 1999, Dr. Hollands was an Assistant Professor of Psychology at the University of Idaho. He received his PhD in cognitive psychology from the University of Toronto in 1993, and an MA in human factors psychology from the University of Guelph in 1989. He received a BA in psychology (honors--co-operative program) from the University of Waterloo in 1986. His experience as a co-op student in work term placements at the Ontario Ministry of Transportation and Communications, Bell-Northern Research, and IBM Canada sparked his interest in human factors and engineering psychology. Dr. Hollands has authored or co-authored over 50 peer-reviewed articles. He is interested in display and interface design, human reliance on automated systems, visual momentum, visual attention, and human perception and psychophysical scaling.
Simon Banbury is the owner and President of Looking Glass HF Inc., an independent Canadian-based Human Factors consultancy specializing in optimizing how people interact with technology. He is also a Professeur Associé of the School of Psychology at the Université Laval (Canada) where he supervises PhD students and supports research on teamwork and medical decision making. Simon has almost twenty years of Human Factors consultancy and applied research experience in defence, industrial and academic domains; he has worked as a Human Factors consultant in the defence and industrial sectors, a lecturer in Psychology at Cardiff University (U.K.), and a defence scientist for the United Kingdom’s Defence Evaluation and Research Agency. Simon has published widely on the applied aspects of attention and memory; including the effects of extraneous noise on performance in the office and on the flight deck.
Raja Parasuraman, Ph.D. is University Professor of Psychology at George Mason University. He is Director of the Graduate Program in Human Factors and Applied Cognition and Director of the Center of Excellence in Neuroergonomics, Technology, and Cognition (CENTEC). His research interests are in attention, automation, neuroimaging, and genetics. He has published over 150 peer-reviewed journal articles and 10 books, including Varieties of Attention, Automation and Human Performance, Neuroergonomics: The Brain at Work,and Nurturing the Older Brain and Mind. He is a Fellow of the American Association for the Advancement of Science, the American Psychological Society, and the Human Factors and Ergonomics Society. His awards include the Franklin Taylor Award for Lifetime Achievement from the American Psychological Association, the Paul Fitts Education Award from the Human Factors and Ergonomics Society, and the Outstanding Faculty Award from the State Council for Higher Education for the State of Virginia. For more information, see http://archlab.gmu.edu/people/rparasur/
