title: Modeling the role of parallel processing in visual search.
abstract: Treisman's Feature Integration Theory and Julesz's Texton Theory explain many aspects of visual search. However, these theories require that parallel processing mechanisms not be used in many visual searches for which they would be useful, and they imply that visual processing should be much slower than it is. Most importantly, they cannot account for recent data showing that some subjects can perform some conjunction searches very efficiently. Feature Integration Theory can be modified so that it accounts for these data and helps to answer these questions. In this new theory, which we call Guided Search, the parallel stage guides the serial stage as it chooses display elements to process. A computer simulation of Guided Search produces the same general patterns as human subjects in a number of different types of visual search.
authors.affiliation: Massachusetts Institute of Technology.
authors.forename: K R
authors.initials: KR
authors.lastname: Cave
authors.forename: J M
authors.initials: JM
authors.lastname: Wolfe
mesh_terms: D001288:Attention; D003198:Computer Simulation; D004193:Discrimination Learning; D006801:Humans; D011930:Reaction Time; D014796:Visual Perception