Human Performance Models for Computer-Aided Engineering

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. Content: Front Matter, Page iii Copyright, Page iv Preface to the New Edition, Page v, Jerome I. Elkind, Stuart K. Card, Julian Hochberg, Beverly Messick Huey Foreword, Page xiii Preface, Pages xv-xvii, Jerome I. Elkind 1 - Introduction, Pages 3-16 2 - Preview of Models, Pages 17-22 3 - Use and Integration of Models, Pages 23-54 4 - Introduction to Vision Models, Pages 57-60 5 - Models in Early Vision, Pages 61-74, ANDREW B. WATSON 6 - Models of Static Form Perception, Pages 75-88, JAMES T. TODD 7 - Structure From Motion, Pages 89-105, MYRON L. BRAUNSTEIN 8 - Motion-Based State Estimation and Shape Modeling, Pages 106-125, GREG ZACHARIAS 9 - Real-Time Human Image Understanding in Pilot Performance Models, Pages 126-143, IRVING BIEDERMAN 10 - Manipulation of Visual Information, Pages 144-158, LYNN A. COOPER 11 - Combining Views, Pages 159-165, JULIAN HOCHBERG 12 - Afterword, Pages 166-167 13 - Introduction to Cognition Models, Pages 171-172 14 - Cognitive Architectures, Pages 173-179, STUART K. CARD, ALLEN NEWELL 15 - Resource Management and Time-Sharing, Pages 180-202, CHRISTOPHER D. WICKENS 16 - Models of Working Memory, Pages 203-214, STUART K. CARD 17 - Training Models to Estimate Training Costs for New Systems, Pages 215-232, WALTER SCHNEIDER 18 - Modeling Scenarios for Action, Pages 233-247, STUART K. CARD 19 - Modeling and Predicting Human Error, Pages 248-274, DAVID D. WOODS 20 - Modeling Decision Making for System Design, Pages 275-290, BARUCH FISCHHOFF 21 - Knowledge Elicitation and Representation, Pages 291-298, DEBORAH A. BOEHM-DAVIS 22 - Afterword, Pages 299-300 23 - Findings and Recommendations, Pages 303-309 Index, Pages 310-324 COMMITEE ON HUMAN FACTORS, Pages 325-326