Guest, Duncan and Lamberts, Koen. (2010) The prioritization of perceptual processing in categorization. Attention Perception & Psychophysics, Vol.72 (No.4). pp. 1079-1096. ISSN 1943-3921

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Abstract

In three experiments, the effects of selective attention on perceptual processes in a complex multidimensional object categorization task were investigated. In each experiment, participants completed a perceptual-matching task to gain estimates of the perceptual salience of each stimulus dimension, then a categorization task using the same stimuli. In Experiments 1 and 2, the perceptual processing of stimulus dimensions was faster when dimensions were more diagnostic of category membership, regardless of their perceptual salience. Experiment 3 demonstrated that this prioritization of perceptual processing was evident even when stimuli were presented in unpredictable locations during categorization, indicating that the physical characteristics of the stimulus guide selective attention to diagnostic stimulus dimensions.

Item Type:	Journal Article
Subjects:	B Philosophy. Psychology. Religion > BF Psychology
Divisions:	Faculty of Science > Psychology
Library of Congress Subject Headings (LCSH):	Human information processing, Perception, Categorization (Psychology)
Journal or Publication Title:	Attention Perception & Psychophysics
Publisher:	Psychonomic Soc. Inc.
ISSN:	1943-3921
Date:	May 2010
Volume:	Vol.72
Number:	No.4
Number of Pages:	18
Page Range:	pp. 1079-1096
Identification Number:	10.3758/APP.72.4.1079
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
References:	Ashby, F. G., Alfonso-Reese, L. A., Turken, A. U., & Waldron, E. M. (1998). A neuropsychological theory of multiple systems in category learning. Psychological Review, 105, 442-481. Ashby, F. G., Ennis, J. M., & Spiering, B. J. (2007). A neurobiological theory of automaticity in perceptual categorization. Psychological Review, 114, 632-656. Ashby, F. G., & Gott, R. E. (1988). Decision rules in the perception and categorization of multidimensional stimuli. Journal of Experimental Psychology: Learning, Memory, & Cognition, 14, 33-53. Ashby, F. G., & Maddox, W. T. (1990). Integrating information from separable psychological dimensions. Journal of Experimental Psychology: Human Perception & Performance, 16, 598-612. Ashby, F. G., & Maddox, W. T. (1994). A response time theory of separability and integrality in speeded classification. Journal of Mathematical Psychology, 38, 423-466. Ashby, F. G., & Maddox, W. T. (2005). Human category learning. Annual Review of Psychology, 56, 149-178. Ashby, F. G., Noble, S., Filoteo, J., Waldron, E. M., & Ell, S. W. (2003). Category learning deficits in Parkinson’s disease. Neuropsychology, 17, 115-124. Biederman, I. (1987). Recognition-by-components: A theory of human image understanding. Psychological Review, 94, 115-147. Carrasco, M., Ling, S., & Read, S. (2004). Attention alters appearance. Nature Neuroscience, 7, 308-313. Carrasco, M., & McElree, B. (2001). Covert attention accelerates the rate of visual information processing. Proceedings of the National Academy of Sciences, 98, 5363-5367. Carrasco, M., Williams, P. E., & Yeshurun, Y. (2002). Covert attention increases spatial resolution with or without masks: Support for signal enhancement. Journal of Vision, 2, 467-479. Corbetta, M., Miezin, F. M., Dobmeyer, S., Shulman, G. L., & Petersen, S. E. (1990). Attentional modulation of neural processing of shape, color, and velocity in humans. Science, 248, 1556-1559. Desimone, R., & Duncan, J. (1995). Neural mechanisms of selective visual attention. Annual Review of Neuroscience, 18, 193-222. Downing, C. J. (1988). Expectancy and visual–spatial attention: Effects on perceptual quality. Journal of Experimental Psychology: Human Perception & Performance, 14, 188-202. Ennis, D. M. (1988). Confusable and discriminable stimuli: Comment on Nosofsky (1986) and Shepard (1986). Journal of Experimental Psychology: General, 117, 408-411. Estes, W. K. (1994). Classification and cognition. New York: Oxford University Press. Filoteo, J. V., Lauritzen, J. S., & Maddox, T. W. (in press). Removing the frontal lobes: The effects of engaging executive functions on perceptual category learning. Psychological Science. Filoteo, J. V., Maddox, W. T., Simmons, A. N., Ing, A. D., Cagigas, X. E., Matthews, S., & Paulus, M. P. (2005). Cortical and subcortical brain regions involved in rule-based category learning. Neuro- Report, 16, 111-115. Folk, C. L., Remington, R. W., & Johnston, J. C. (1992). Involuntary covert orienting is contingent on attentional control settings. Journal of Experimental Psychology: Human Perception & Performance, 18, 1030-1044. Goldstone, R. (1994). Influences of categorization on perceptual discrimination. Journal of Experimental Psychology: General, 123, 178-200. Hawkins, H. L., Hillyard, S. A., Luck, S. J., Downing, C. J., Mouloua, M., & Woodward, D. P. (1990). Visual attention modulates signal detectibility. Journal of Experimental Psychology: Human Perception & Performance, 16, 802-811. Henderson, J. M. (1996). Spatial precues affect target discrimination in the absence of visual noise. Journal of Experimental Psychology: Human Perception & Performance, 22, 780-787. Hillyard, S. A., Vogel, E. K., & Luck, S. J. (1998). Sensory gain control (amplification) as a mechanism of selective attention: Electrophysiological and neuroimaging evidence. Philosophical Transactions of the Royal Society B, 353, 1257-1270. Hoffman, D., & Richards, W. (1984). Parts in recognition. Cognition, 18, 65-96. Johnston, J. C., McCann, R. S., & Remington, R. W. (1995). Chronometric evidence for two types of attention. Psychological Science, 6, 365-369. Kent, C., & Lamberts, K. (2006). The time course of perception and retrieval in matching and recognition. Journal of Experimental Psychology: Human Perception & Performance, 32, 920-931. Kristjánsson, Á., Mackeben, M., & Nakayama, K. (2001). Rapid, object-based learning in the deployment of transient attention. Perception, 30, 1375-1387. LaBerge, D. (1997). Attention, awareness, and the triangular circuit. Consciousness & Cognition, 6, 149-181. Lamberts, K. (1995). Categorization under time pressure. Journal of Experimental Psychology: General, 124, 161-180. Lamberts, K. (1998). The time course of categorization. Journal of Experimental Psychology: Learning, Memory, & Cognition, 24, 695-711. Lamberts, K. (2000). Information accumulation theory of speeded categorization. Psychological Review, 107, 227-260. Lamberts, K., Brockdorff, N., & Heit, E. (2002). Perceptual processes in matching and recognition of complex pictures. Journal of Experimental Psychology: Human Perception & Performance, 28, 1176-1191. Lamberts, K., & Freeman, R. P. J. (1999). Building object representations from parts: Tests of a stochastic sampling model. Journal of Experimental Psychology: Human Perception & Performance, 25, 904-926. Liu, T. S., Pestilli, F., & Carrasco, M. (2005). Transient attention enhances perceptual performance and fMRI response in human visual cortex. Neuron, 45, 469-477. Loftus, G. R., Busey, T. A., & Senders, J. W. (1993). Providing a sensory basis for models of visual information acquisition. Perception & Psychophysics, 54, 535-554. Lu, Z.-L., & Dosher, B. A. (1998). External noise distinguishes attention mechanisms. Vision Research, 38, 1183-1198. Luce, R. D. (1963). Detection and recognition. In R. D. Luce, R. R. Bush, & E. Galanter (Eds.), Handbook of mathematical psychology (pp. 103-189). New York: Wiley. Luck, S. J., Chelazzi, L., Hillyard, S. A., & Desimone, R. (1997). Neural mechanisms of spatial selective attention in areas V1, V2, and V4 of macaque visual cortex. Journal of Neurophysiology, 77, 24-42. Luck, S. J., Hillyard, S. A., Mouloua, M., & Hawkins, H. L. (1996). Mechanisms of visual–spatial attention: Resource allocation or uncertainty reduction? Journal of Experimental Psychology: Human Perception & Performance, 22, 725-737. Luck, S. J., Hillyard, S. A., Mouloua, M., Woldorff, M. G., Clark, V. P., & Hawkins, H. L. (1994). Effects of spatial cuing on luminance detectability: Psychophysical and electrophysiological evidence for early selection. Journal of Experimental Psychology: Human Perception & Performance, 20, 887-904. Macmillan, N. A., & Creelman, C. D. (1990). Response bias: Characteristics of detection theory, threshold theory, and “nonparametric” indexes. Psychological Bulletin, 107, 401-413. Macmillan, N. A., & Kaplan, H. L. (1985). Detection theory analysis of group data: Estimating sensitivity from average hit and false-alarm rates. Psychological Bulletin, 98, 185-199. Maddox, W. T. (1999). On the dangers of averaging across observers when comparing decision bound models and generalized context models of categorization. Perception & Psychophysics, 61, 354-374. Maddox, W. T. (2001). Separating perceptual processes from decisional processes in identification and categorization. Perception & Psychophysics, 63, 1183-1200. Maddox, W. T., Ashby, F. G., & Bohil, C. J. (2003). Delayed feedback effects on rule-based and information-integration category learning. Journal of Experimental Psychology: Learning, Memory, & Cognition, 29, 650-662. Maddox, W. T., Ashby, F. G., & Waldron, E. M. (2002). Multiple attention systems in perceptual categorization. Memory & Cognition, 30, 325-339. Maddox, W. T., & Bogdanov, S. V. (2000). On the relation between decision rules and perceptual representation in multidimensional perceptual categorization. Perception & Psychophysics, 62, 984-997. Maddox, W. T., & Dodd, J. L. (2003). Separating perceptual and decisional attention processes in the identification and categorization of integral-dimension stimuli. Journal of Experimental Psychology: Learning, Memory, & Cognition, 29, 467-480. Maddox, W. T., & Filoteo, J. V. (2005). The neuropsychology of perceptual category learning. In H. Cohen & C. Lefebvre (Eds.), Handbook of categorization in cognitive science (pp. 573-599). Amsterdam: Elsevier. Marr, D., & Nishihara, K. (1978). Representation and recognition of the spatial organization of three-dimensional shapes. Proceedings of the Royal Society B, 200, 269-294. Martinez-Trujillo, J. C., & Treue, S. (2004). Feature-based attention increases the selectivity of population responses in primate visual cortex. Current Biology, 14, 744-751. Maunsell, J. H. R., & Treue, S. (2006). Feature-based attention in visual cortex. Trends in Neurosciences, 29, 317-322. Meyer, D. E., Irwin, D. E., Osman, A. M., & Kounios, J. (1988). The dynamics of cognition and action: Mental processes inferred from speed–accuracy decomposition. Psychological Review, 95, 183-237. Moran, J., & Desimone, R. (1985). Selective attention gates visual processing in the extrastriate cortex. Science, 229, 782-784. Nosofsky, R. M. (1986). Choice, similarity, and the context theory of detectability: Psychophysical and electrophysiological evidence for early selection. Journal of Experimental Psychology: Human Perception & Performance, 20, 887-904. Macmillan, N. A., & Creelman, C. D. (1990). Response bias: Characteristics of detection theory, threshold theory, and “nonparametric” indexes. Psychological Bulletin, 107, 401-413. Macmillan, N. A., & Kaplan, H. L. (1985). Detection theory analysis of group data: Estimating sensitivity from average hit and false-alarm rates. Psychological Bulletin, 98, 185-199. Maddox, W. T. (1999). On the dangers of averaging across observers when comparing decision bound models and generalized context models of categorization. Perception & Psychophysics, 61, 354-374. Maddox, W. T. (2001). Separating perceptual processes from decisional processes in identification and categorization. Perception & Psychophysics, 63, 1183-1200. Maddox, W. T., Ashby, F. G., & Bohil, C. J. (2003). Delayed feedback effects on rule-based and information-integration category learning. Journal of Experimental Psychology: Learning, Memory, & Cognition, 29, 650-662. Maddox, W. T., Ashby, F. G., & Waldron, E. M. (2002). Multiple attention systems in perceptual categorization. Memory & Cognition, 30, 325-339. Maddox, W. T., & Bogdanov, S. V. (2000). On the relation between decision rules and perceptual representation in multidimensional perceptual categorization. Perception & Psychophysics, 62, 984-997. Maddox, W. T., & Dodd, J. L. (2003). Separating perceptual and decisional attention processes in the identification and categorization of integral-dimension stimuli. Journal of Experimental Psychology: Learning, Memory, & Cognition, 29, 467-480. Maddox, W. T., & Filoteo, J. V. (2005). The neuropsychology of perceptual category learning. In H. Cohen & C. Lefebvre (Eds.), Handbook of categorization in cognitive science (pp. 573-599). Amsterdam: Elsevier. Marr, D., & Nishihara, K. (1978). Representation and recognition of the spatial organization of three-dimensional shapes. Proceedings of the Royal Society B, 200, 269-294. Martinez-Trujillo, J. C., & Treue, S. (2004). Feature-based attention increases the selectivity of population responses in primate visual cortex. Current Biology, 14, 744-751. Maunsell, J. H. R., & Treue, S. (2006). Feature-based attention in visual cortex. Trends in Neurosciences, 29, 317-322. Meyer, D. E., Irwin, D. E., Osman, A. M., & Kounios, J. (1988). The dynamics of cognition and action: Mental processes inferred from speed–accuracy decomposition. Psychological Review, 95, 183-237. Moran, J., & Desimone, R. (1985). Selective attention gates visual processing in the extrastriate cortex. Science, 229, 782-784. Nosofsky, R. M. (1986). Choice, similarity, and the context theory of
URI:	http://wrap.warwick.ac.uk/id/eprint/5195

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