%0 Journal Article %1 Palmeri2004 %A Palmeri, T. J. %A Wong, A.C.N. %A Gauthier, I %D 2004 %J Trends in Cognitive Science %K Attention; Automatic Cognition; Competence; Data Gov't, Gov't; Humans; Learning; Memory; Non-P.H.S.; Non-U.S. P.H.S.; Perception Perception; Processing; Professional Research Support, U.S. Visual %N 8 %P 378--386 %R 10.1016/j.tics.2004.06.001 %T Computational approaches to the development of perceptual expertise %U http://dx.doi.org/10.1016/j.tics.2004.06.001 %V 8 %X Dog experts, ornithologists, radiologists and other specialists are noted for their remarkable abilities at categorizing, identifying and recognizing objects within their domain of expertise. A complete understanding of the development of perceptual expertise requires a combination of thorough empirical research and carefully articulated computational theories that formalize specific hypotheses about the acquisition of expertise. A comprehensive computational theory of the development of perceptual expertise remains elusive, but we can look to existing computational models from the object-recognition, perceptual-categorization, automaticity and related literatures for possible starting points. Arguably, hypotheses about the development of perceptual expertise should first be explored within the context of existing computational models of visual object understanding before considering the creation of highly modularized adaptations for particular domains of perceptual expertise.

@article{Palmeri2004, abstract = {Dog experts, ornithologists, radiologists and other specialists are noted for their remarkable abilities at categorizing, identifying and recognizing objects within their domain of expertise. A complete understanding of the development of perceptual expertise requires a combination of thorough empirical research and carefully articulated computational theories that formalize specific hypotheses about the acquisition of expertise. A comprehensive computational theory of the development of perceptual expertise remains elusive, but we can look to existing computational models from the object-recognition, perceptual-categorization, automaticity and related literatures for possible starting points. Arguably, hypotheses about the development of perceptual expertise should first be explored within the context of existing computational models of visual object understanding before considering the creation of highly modularized adaptations for particular domains of perceptual expertise.}, added-at = {2007-12-16T20:00:22.000+0100}, author = {Palmeri, T. J. and Wong, A.C.N. and Gauthier, I}, biburl = {https://www.bibsonomy.org/bibtex/241c618c92f35bf7f4587f27e1482c5c3/perceptron}, doi = {10.1016/j.tics.2004.06.001}, interhash = {638819a0f9feb61aea4f2c2fcd94feb1}, intrahash = {41c618c92f35bf7f4587f27e1482c5c3}, journal = {Trends in Cognitive Science}, keywords = {Attention; Automatic Cognition; Competence; Data Gov't, Gov't; Humans; Learning; Memory; Non-P.H.S.; Non-U.S. P.H.S.; Perception Perception; Processing; Professional Research Support, U.S. Visual}, number = 8, pages = {378--386}, pii = {S1364661304001603}, pmid = {15335465}, timestamp = {2007-12-16T20:00:25.000+0100}, title = {Computational approaches to the development of perceptual expertise}, url = {http://dx.doi.org/10.1016/j.tics.2004.06.001}, volume = 8, year = 2004 }