Human Performance Models for Computer-Aided Engineering.

By: Elkind, Jerome IContributor(s): Card, Stuart K | Hochberg, JulianMaterial type: TextTextSeries: eBooks on DemandPublisher: Burlington : Elsevier Science, 2014Description: 1 online resource (345 p.)ISBN: 9781483272399Subject(s): Computer-aided engineering | Engineering -- Design -- Use of -- Computers | Human engineering -- Data processingGenre/Form: Electronic books.Additional physical formats: Print version:: Human Performance Models for Computer-Aided EngineeringDDC classification: 620.00420285 LOC classification: T59.7 .H86 1990Online resources: Click here to view this ebook.
Contents:
Front Cover; Human Performance Models for Computer-Aided Engineering; Copyright Page; Preface to the New Edition; Table of Contents; Foreword; Preface; Part I; Chapter 1. Introduction; HELICOPTER FLIGHT PROBLEMS AND APPLICATIONS OF HUMAN PERFORMANCE MODELS; DETECTABILITY AND VISIBILITY (CHAPTER 5); SURFACE AND MOTION ESTIMATION (CHAPTER 8); OBJECT RECOGNITION (CHAPTER 9); HETERO-OCULAR VISION (CHAPTER 11); WORKLOAD AND PILOT PERFORMANCE (CHAPTER 15); DECISION THEORY (CHAPTER 20); MEMORY OVERLOAD (CHAPTER 16); SKILL ACQUISITION (CHAPTER 17); HUMAN ERROR (CHAPTER 19); REFERENCES
Chapter 2. Preview of ModelsFRAMEWORK; ASSESSMENT OF MODELS; Chapter 3. Use and Integration of Models; DESIGN PROCESS; TOOLBOX FRAMEWORK; SELECTING TOOLS AND MODELS; ENGINEERING ANALYSES; DISCUSSION; AFTERWORD; REFERENCES; Part II; Chapter 4. Introduction to Vision Models; Chapter 5. Models in Early Vision; OVERVIEW; INTRODUCTION; WHAT IS A MODEL?; MODEL ATTRIBUTES; SPATIAL VISION; TEMPORAL SENSITIVITY; MOTION PROCESSING; SUMMARY; REFERENCES; Chapter 6. Models of Static Form Perception; IMAGE GENERATION; IMAGE ANAYLSIS; POTENTIAL APPLICATIONS; REFERENCES; Chapter 7. Structure From Motion
OVERVIEWINTRODUCTION; MODELS; CONCLUSION; RESEARCH NEEDS: STRUCTURE FROM MOTION; REFERENCES; Chapter 8. Motion-Based State Estimation and Shape Modeling; INTRODUCTION AND SUMMARY; FRAMEWORK FOR MOTION-BASED STATE ESTIMATION AND SHAPE MODELING; REVIEW OF RESEARCH IN MOTION-BASED STATE ESTIMATION AND SHAPE MODELING; MODEL APPLICATIONS AND LIMITATIONS; FUTURE RESEARCH; REFERENCES; Chapter 9. Real-Time Human Image Understanding in Pilot Performance Models; THEORIES OF OBJECT RECOGNITION; MODEL-BASED MATCHING: LOWE'S SCERPO AND ULLMAN'S ALIGNMENT MODELS; PERCEPTION OF MULTIOBJECT DISPLAYS
REFERENCESChapter 10. Manipulation of Visual Information; SUMMARY; INTRODUCTION; TRANSFORMATIONS ON INFORMATION PRESENTED IN A STATIC VISUAL DISPLAY; MEMORY FOR POSITIONS IN A SEQUENCE OF STATIC DISPLAYS; EXTRAPOLATION OF PERCEPTUALLY DRIVEN SPATIAL TRANSFORMATIONS; JUDGMENTS OF OBJECT STRUCTURE FROM PARTIAL VIEWS; FUTURE RESEARCH; REFERENCES; Chapter 11. Combining Views; INTEGRATION OF SUCCESSIVE VIEWS; BINOCULAR COMBINATION; REFERENCES; Chapter 12. Afterword; Part III; Chapter 13. Introduction to Cognition Models; Chapter 14. Cognitive Architectures; SYMBOLIST ARCHITECTURES
CONNECTIONIST MODELSREFERENCES; Chapter 15. Resource Management and Time-Sharing; OVERVIEW; SERIAL ALLOCATION; PARALLEL ALLOCATION; SERIAL COMPETITION; PARALLEL COMPETITION; SYNTHESIS OF THE OPTIMAL MODEL; CONCLUSION; REFERENCES; Chapter 16. Models of Working Memory; PHENOMENA OF WORKING MEMORY; MODELS OF WORKING MEMORY; REFERENCES; Chapter 17. Training Models to Estimate Training Costs for New Systems; OVERVIEW; SKILL DEVELOPMENT; MODELS FOR PREDICTING HUMAN PERFORMANCE; ENGINEERING GUIDANCE WITHOUT AN ALL-INCLUSIVE MODEL; USE OF RAPID PROTOTYPING AND QUICK EMPIRICAL EVALUATIONS
NEEDED RESEARCH
Summary: Human Performance Models for Computer-Aided Engineering is a collection of papers that deals with the relationship between scientific theories of human performance and practical engineering. This collection describes the emergence of a scientific engineering paradigm that uses computational theories in computational design aids. This book also considers computational human factors such as human performance models and their application in computer-based engineering designs. This text then presents applications of these models to some helicopter flight problems. This book also explains the four
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Electronic Book UT Tyler Online
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T59.7 .H86 1990 (Browse shelf) http://uttyler.eblib.com/patron/FullRecord.aspx?p=1663396 Available EBL1663396

Front Cover; Human Performance Models for Computer-Aided Engineering; Copyright Page; Preface to the New Edition; Table of Contents; Foreword; Preface; Part I; Chapter 1. Introduction; HELICOPTER FLIGHT PROBLEMS AND APPLICATIONS OF HUMAN PERFORMANCE MODELS; DETECTABILITY AND VISIBILITY (CHAPTER 5); SURFACE AND MOTION ESTIMATION (CHAPTER 8); OBJECT RECOGNITION (CHAPTER 9); HETERO-OCULAR VISION (CHAPTER 11); WORKLOAD AND PILOT PERFORMANCE (CHAPTER 15); DECISION THEORY (CHAPTER 20); MEMORY OVERLOAD (CHAPTER 16); SKILL ACQUISITION (CHAPTER 17); HUMAN ERROR (CHAPTER 19); REFERENCES

Chapter 2. Preview of ModelsFRAMEWORK; ASSESSMENT OF MODELS; Chapter 3. Use and Integration of Models; DESIGN PROCESS; TOOLBOX FRAMEWORK; SELECTING TOOLS AND MODELS; ENGINEERING ANALYSES; DISCUSSION; AFTERWORD; REFERENCES; Part II; Chapter 4. Introduction to Vision Models; Chapter 5. Models in Early Vision; OVERVIEW; INTRODUCTION; WHAT IS A MODEL?; MODEL ATTRIBUTES; SPATIAL VISION; TEMPORAL SENSITIVITY; MOTION PROCESSING; SUMMARY; REFERENCES; Chapter 6. Models of Static Form Perception; IMAGE GENERATION; IMAGE ANAYLSIS; POTENTIAL APPLICATIONS; REFERENCES; Chapter 7. Structure From Motion

OVERVIEWINTRODUCTION; MODELS; CONCLUSION; RESEARCH NEEDS: STRUCTURE FROM MOTION; REFERENCES; Chapter 8. Motion-Based State Estimation and Shape Modeling; INTRODUCTION AND SUMMARY; FRAMEWORK FOR MOTION-BASED STATE ESTIMATION AND SHAPE MODELING; REVIEW OF RESEARCH IN MOTION-BASED STATE ESTIMATION AND SHAPE MODELING; MODEL APPLICATIONS AND LIMITATIONS; FUTURE RESEARCH; REFERENCES; Chapter 9. Real-Time Human Image Understanding in Pilot Performance Models; THEORIES OF OBJECT RECOGNITION; MODEL-BASED MATCHING: LOWE'S SCERPO AND ULLMAN'S ALIGNMENT MODELS; PERCEPTION OF MULTIOBJECT DISPLAYS

REFERENCESChapter 10. Manipulation of Visual Information; SUMMARY; INTRODUCTION; TRANSFORMATIONS ON INFORMATION PRESENTED IN A STATIC VISUAL DISPLAY; MEMORY FOR POSITIONS IN A SEQUENCE OF STATIC DISPLAYS; EXTRAPOLATION OF PERCEPTUALLY DRIVEN SPATIAL TRANSFORMATIONS; JUDGMENTS OF OBJECT STRUCTURE FROM PARTIAL VIEWS; FUTURE RESEARCH; REFERENCES; Chapter 11. Combining Views; INTEGRATION OF SUCCESSIVE VIEWS; BINOCULAR COMBINATION; REFERENCES; Chapter 12. Afterword; Part III; Chapter 13. Introduction to Cognition Models; Chapter 14. Cognitive Architectures; SYMBOLIST ARCHITECTURES

CONNECTIONIST MODELSREFERENCES; Chapter 15. Resource Management and Time-Sharing; OVERVIEW; SERIAL ALLOCATION; PARALLEL ALLOCATION; SERIAL COMPETITION; PARALLEL COMPETITION; SYNTHESIS OF THE OPTIMAL MODEL; CONCLUSION; REFERENCES; Chapter 16. Models of Working Memory; PHENOMENA OF WORKING MEMORY; MODELS OF WORKING MEMORY; REFERENCES; Chapter 17. Training Models to Estimate Training Costs for New Systems; OVERVIEW; SKILL DEVELOPMENT; MODELS FOR PREDICTING HUMAN PERFORMANCE; ENGINEERING GUIDANCE WITHOUT AN ALL-INCLUSIVE MODEL; USE OF RAPID PROTOTYPING AND QUICK EMPIRICAL EVALUATIONS

NEEDED RESEARCH

Human Performance Models for Computer-Aided Engineering is a collection of papers that deals with the relationship between scientific theories of human performance and practical engineering. This collection describes the emergence of a scientific engineering paradigm that uses computational theories in computational design aids. This book also considers computational human factors such as human performance models and their application in computer-based engineering designs. This text then presents applications of these models to some helicopter flight problems. This book also explains the four

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