San Diego: Academic Press (Harcourt Brace Jovanovich), 1990. Near Fine EX-LIBRARY. Bright, shiny, clean, square and tight. Sharp corners. Inner hinges are perfect. WITHDRAWN stamp, and a few other library markings on the endpapers. NO pocket. All text pages are clean and crisp. NO underlining. NO highlighting. NO margin notes. Graphs. Tables. Bibliographical references. Index. Bound in the original glossy laminated pictorial boards, stamped in green and lavender on the spine and front cover. First Academic Press Edition. Hardcover. Near Fine EX-LIBRARY/No jacket, as issued. 8vo. xvii, 326pp.

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Detalles bibliogr�ficos

T�tulo

Human Performance Models for Computer-Aided Engineering

Editor

Academic Press (Harcourt Brace Jovanovich), San Diego

Fecha de publicaci�n

1990

Idioma

Ingl�s

ISBN 10

0122365305

ISBN 13

9780122365300

Encuadernaci�n

Hardcover

Edici�n

First Academic Press Edition.

Estado

Near Fine EX-LIBRARY

Estado de la sobrecubierta

No jacket, as issued

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Sinopsis

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.

Acerca del autor

Julian Hochberg is the Centennial Professor Emeritus at Columbia University. Dr. Hochberg is a member of the National Academy of Sciences, American Academy of Arts and Sciences, and a recipient of the Distinguished Scientific Contribution Award of the American Psychological Association.

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