Engineering Psychology & Human Performance Plus MySearchLab with eText -- Access Card Package

ALERT: Before you purchase, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products.   Packages Access codes for Pearson's MyLab & Mastering products may not be included when purchasing or renting from companies other than Pearson; check with the seller before completing your purchase.   Used or rental books If you rent or purchase a used book with an access code, the access code may have been redeemed previously and you may have to purchase a new access code.   Access codes Access codes that are purchased from sellers other than Pearson carry a higher risk of being either the wrong ISBN or a previously redeemed code. Check with the seller prior to purchase.   --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/