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The Influence of Attention, Learning, and Motivation on Visual Search will bring together distinguished authors who are conducting cutting edge research on the many factors that influence search behavior. These factors will include low-level feature detection; statistical learning; scene perception; neural mechanisms of attention; and applied research in real world settings.
Sommario
Introduction.- Searching in Space and in Time.- Automatic Control of Visual Selection.- Guidance of Visual Search by Memory and Knowledge.- Reward and Attentional Control in Visual Search.- Statistical Learning and its Consequences.- Overcoming Hurdles in Translating Visual Search Research Between the Lab and the Field.-When Do I Quit? The Search Termination Problem in Visual Search.
Info autore
Michael Dodd received his Ph.D. in Cognitive Psychology from the University of Toronto in 2005 and was a Killam postdoctoral fellow at the University of British Columbia before joining the University of Nebraska faculty in 2007. His research encompasses many different aspects of human cognition, with a particular focus on visual attention (e.g., visual search; inhibition of return; object-based attention; apparent motion; sensory processing; scene perception; oculomotor programming; task-induced changes in eye movements), memory (false memory, retrieval-induced forgetting, directed forgetting), individual differences (influences of political temperament on cognition) and goal-directed activity, as well as the interactions between these cognitive.
Dr. John H. Flowers jointed the UNL faculty in 1972. He received his Ph.D. from Yale University in 1972 in experimental psychology. His primary research interests are in the general area of human information processing, particularly attention, implicit learning, and the perception of structure. His interest in the perception of structure has recently led to a research program on the use of sound as a means for representing data.
Riassunto
The Influence of Attention, Learning, and Motivation on Visual Search will bring together distinguished authors who are conducting cutting edge research on the many factors that influence search behavior. These factors will include low-level feature detection; statistical learning; scene perception; neural mechanisms of attention; and applied research in real world settings.
