Description
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 requirements in programming a computer-based model of the sensory performance of a pilot as 1) prediction capability; 2) measurement capability; 3) provision of compatible computer algorithms; and 4) image driven. This collection also describes cognitive structures—aspects of the human information processing system. This text then discusses resource management and time-sharing issues that is related to competition of scarce resources, which can be predictive of the quality of information processing. This book also describes other modeling scenarios such as those predicting human errors, decision making, and shape modeling. This text can prove valuable for computer programmers, engineers, physicists, and research scientists dealing with psychophysics.
Chapter
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)
Chapter 2. Preview of Models
Chapter 3. Use and Integration of Models
SELECTING TOOLS AND MODELS
Chapter 4. Introduction to Vision Models
Chapter 5. Models in Early Vision
Chapter 6. Models of Static Form Perception
Chapter 7. Structure From Motion
RESEARCH NEEDS: STRUCTURE FROM MOTION
Chapter 8. Motion-Based State Estimation and Shape Modeling
FRAMEWORK FOR MOTION-BASED STATE ESTIMATION AND SHAPE MODELING
REVIEW OF RESEARCH IN MOTION-BASED STATE ESTIMATION AND SHAPE MODELING
MODEL APPLICATIONS AND LIMITATIONS
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
Chapter 10. Manipulation of Visual Information
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
Chapter 11. Combining Views
INTEGRATION OF SUCCESSIVE VIEWS
Chapter 13. Introduction to Cognition Models
Chapter 14. Cognitive Architectures
Chapter 15. Resource Management and Time-Sharing
SYNTHESIS OF THE OPTIMAL MODEL
Chapter 16. Models of Working Memory
PHENOMENA OF WORKING MEMORY
Chapter 17. Training Models to Estimate Training Costs for New Systems
MODELS FOR PREDICTING HUMAN PERFORMANCE
ENGINEERING GUIDANCE WITHOUT AN ALL-INCLUSIVE MODEL
USE OF RAPID PROTOTYPING AND QUICK EMPIRICAL EVALUATIONS
Chapter 18. Modeling Scenarios for Action
SCENARIOS WITH SIMPLE CONTINGENCIES
MODELING MORE COMPLEX SCENARIOS
Chapter 19. Modeling and Predicting Human Error
Chapter 20. Modeling Decision Making for System Design
WHY DECISION MAKING SEEMS EASY TO MODEL—SOMETIMES
IMPLICATIONS FOR MODELING OPERATOR PERFORMANCE
MODELING WITHOUT OPTIMALITY
MAKING BEHAVIOR MORE MODEL-LIKE
TESTING THE LIMITS OF DECISION MAKING
Chapter 21. Knowledge Elicitation and Representation
MENTAL MODELS AND DESIGN DECISIONS
Chapter 23. Findings and Recommendations
DESIRABLE ATTRIBUTES AND TYPES OF MODELS
ADEQUACY OF MODELS FOR THE A 3I DESIGN FACILITY
NEED FOR ACCESS TO HUMAN FACTORS DATA BASE
BROADER CONTEXT OF COMPUTATIONAL HUMAN FACTORS
IMPORTANCE OF THE SYSTEMS DESIGN CONTEXT FOR RESEARCH ON MODELS
FOCUSING THE A 3I PROGRAM
PROVIDING A FRAMEWORK AND A BOX OF TOOLS
Human Performance Models for Computer-Aided Engineering
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