2019 - Fellow of the American Academy of Arts and Sciences
2002 - Fellow of the American Association for the Advancement of Science (AAAS)
1996 - Fellow of the American Psychological Association (APA)
Jeremy M. Wolfe mainly investigates Visual search, Artificial intelligence, Perception, Communication and Cognitive psychology. Jeremy M. Wolfe conducts interdisciplinary study in the fields of Visual search and Process through his works. His Artificial intelligence research integrates issues from Computer vision and Pattern recognition.
His biological study spans a wide range of topics, including Memoria, Cognition, Prevalence effect, Developmental psychology and Statistics. The various areas that Jeremy M. Wolfe examines in his Communication study include Binding problem and Visual attention. His Identification research incorporates themes from Depth perception, Visual field and Human visual system model.
Visual search, Artificial intelligence, Computer vision, Cognitive psychology and Communication are his primary areas of study. His studies deal with areas such as Visual perception, Perception, Task, Information retrieval and Set as well as Visual search. The study of Perception is intertwined with the study of Cognition in a number of ways.
The concepts of his Artificial intelligence study are interwoven with issues in Natural language processing and Pattern recognition. His Cognitive psychology research includes themes of Social psychology, Experimental psychology, Foraging, Eye movement and Psychophysics. His research on Communication often connects related topics like Visual attention.
His primary areas of study are Visual search, Artificial intelligence, Cognitive psychology, Computer vision and Foraging. Jeremy M. Wolfe combines subjects such as Speech recognition, Task, Experimental psychology, Information retrieval and Set with his study of Visual search. His Information retrieval study frequently involves adjacent topics like Visual attention.
His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Pattern recognition. His biological study spans a wide range of topics, including Stimulus, Social psychology, Perception and Eye movement. His work in Computer vision is not limited to one particular discipline; it also encompasses Communication.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Guided Search 2.0 A revised model of visual search
Jeremy M. Wolfe;Jeremy M. Wolfe.
Psychonomic Bulletin & Review (1994)
Guided search: an alternative to the feature integration model for visual search.
Jeremy M. Wolfe;Kyle R. Cave;Susan L. Franzel.
Journal of Experimental Psychology: Human Perception and Performance (1989)
What attributes guide the deployment of visual attention and how do they do it
Jeremy M. Wolfe;Todd S. Horowitz.
Nature Reviews Neuroscience (2004)
Guided Search 4.0: Current Progress With a Model of Visual Search.
Jeremy M. Wolfe.
Integrated Models of Cognitive Systems (2007)
What Can 1 Million Trials Tell Us About Visual Search
Jeremy M. Wolfe.
Psychological Science (1998)
Modeling the role of parallel processing in visual search.
Kyle R Cave;Jeremy M Wolfe.
Cognitive Psychology (1990)
Visual search has no memory
Todd S. Horowitz;Jeremy M. Wolfe.
Nature (1998)
The order of visual processing: "Top-down," "bottom-up," or "middle-out"
R. A. Kinchla;J. M. Wolfe.
Attention Perception & Psychophysics (1979)
Changing your mind: on the contributions of top-down and bottom-up guidance in visual search for feature singletons.
Jeremy M. Wolfe;Serena J. Butcher;Carol Lee;Megan Hyle.
Journal of Experimental Psychology: Human Perception and Performance (2003)
Cognitive psychology: Rare items often missed in visual searches
Jeremy M. Wolfe;Todd S. Horowitz;Todd S. Horowitz;Naomi M. Kenner.
Nature (2005)
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