No matter how advanced the technology, there is always the human factor involved - the power behind the technology. Interpreting Remote Sensing Imagery: Human Factors draws together leading psychologists, remote sensing scientists, and government and industry scientists to consider the factors involved in expertise and perceptual skill. This book covers the cognitive issues of learning, perception, and expertise, the applied issues of display design, interface design, software design, and mental workload issues, and the practitioner's issues of workstation design, human performance, and training. It tackles the intangibles of data interpretation, based on information from experts who do the job. You will learn: Information and perception What do experts perceive in remote sensing and cartographic displays? Reasoning and perception How do experts "see through" the data display to understand its meaning and significance? Human-computer interaction How do experts work with their displays and what happens when the "fiddle" with them? Learning and training What are the milestones in training development from novice to expert image interpreter? Interpreting Remote Sensing Imagery: Human Factors breaks down the mystery of what experts do when they interpret data, how they learn, and what individual factors speed or impede training. Even more importantly, it gives you the tools to train efficiently and understand how the human factor impacts data interpretation.

Informazioni sull?autore

Robert R. Hoffman earned his B.A., M.A., and Ph.D. in experimental psychology at the University of Cincinnati, where he was awarded McMicken Scholar, Psi Chi, and Delta Tau Kappa Honors. After a postdoctoral associateship at the Center for Research on Human Learning at the University of Minnesota, Hoffman joined the faculty of Adelphi University. There, he received awards for outstanding research and service, and also served as Chair of the Institutional Review Board and the University Grants Officer. He joined the Institute for Human and Machine Cognition of the University of West Florida in 1999, as a Research Associate.

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