Task demands determine the specificity of the search template

Attention, Perception, and Psychophysics

Volumn 74, Issue 1, 2012, Pages 124-131

  Bravo, Mary J ^a   Farid, Hany ^b  

^a RUTGERS UNIVERSITY   (United States)

^b Dartmouth Department of Computer Science_Dartmouth College   (United States)

Author keywords

Visual search

Indexed keywords

ARTICLE; ASSOCIATION; ATTENTION; COLOR VISION; HUMAN; LEARNING; ORIENTATION; PATTERN RECOGNITION; PERCEPTION; PERCEPTIVE DISCRIMINATION; RECEPTIVE FIELD; SEMANTICS;

ATTENTION; COLOR PERCEPTION; CUES; DISCRIMINATION (PSYCHOLOGY); FIELD DEPENDENCE-INDEPENDENCE; GENERALIZATION (PSYCHOLOGY); HUMANS; ORIENTATION; PATTERN RECOGNITION, VISUAL; PERCEPTUAL MASKING; SEMANTICS;

EID: 84856162307     PISSN: 19433921     EISSN: 1943393X     Source Type: Journal    
DOI: 10.3758/s13414-011-0224-5     Document Type: Article

References (40)

1. Bond, A. B. (1983). Visual search and selection of natural stimuli in the pigeon: The attention threshold hypothesis. Journal of Experimental Psychology: Animal Behavior Processes, 9, 292-306.
2. Brainard, D. H. (1997). The Psychophysics Toolbox. Spatial Vision, 10, 433-436. doi: 10. 1163/156856897X00357.
3. Bravo, M. J., & Farid, H. (2009). The specificity of the search template. Journal of Vision, 9(1), 34: 1-9. doi: 10. 1167/9. 1. 34.
4. Carrasco, M., Loula, F., & Ho, Y.-X. (2006). How attention enhances spatial resolution: Evidence from selective adaptation to spatial frequency. Perception & Psychophysics, 68, 1004-1012. doi: 10. 3758/BF03193361.
5. Castelhano, M. S., Pollatsek, A., & Cave, K. R. (2008). Typicality aids search for an unspecified target, but only in identification and not in attentional guidance. Psychonomic Bulletin & Review, 15, 795-801. doi: 10. 3758/PBR. 15. 4. 795.
6. Corcoran, D. W. J., & Jackson, A. (1979). Flexibility in the choice of distinctive features in visual search with blocked and random designs. Perception, 8, 629-633. doi: 10. 1068/p080629.
7. Czerwinski, M., Lightfoot, N., & Shiffrin, R. M. (1992). Automatization and training in visual search. American Journal of Psychology, 105, 271-315.
8. Freedman, D. J., Riesenhuber, M., Poggio, T., & Miller, E. K. (2003). A comparison of primate prefrontal and inferior temporal cortices during visual categorization. Journal of Neuroscience, 23, 5235-5246.
9. Heathcote, A., Brown, S., & Mewhort, D. J. K. (2000). The power law repealed: The case for an exponential law of practice. Psychonomic Bulletin & Review, 7, 185-207. doi: 10. 3758/BF03212979.
10. Hon, N., Thompson, R., Sigala, N., & Duncan, J. (2009). Evidence for long-range feedback in target detection: Detection of semantic targets modulates activity in early visual areas. Neuropsychologia, 47, 1721-1727.
11. Houtkamp, R., & Roelfsema, P. R. (2009). Matching of visual input to only one item at any one time. Psychological Research, 73, 317-326. doi: 10. 1007/s00426-008-0157-3.
12. Jagadeesh, B., Chelazzi, L., Mishkin, M., & Desimone, R. (2001). Learning increases stimulus salience in anterior inferior temporal cortex of the macaque. Journal of Neurophysiology, 86, 290-303.
13. Kristjansson, A., Ingvarsdottir, A., & Teitsdottir, U. D. (2009). Object- and feature-based priming in visual search. Psychonomic Bulletin & Review, 15, 378-384.
14. Lee, H., Mozer, M. C., & Vecera, S. P. (2009). Mechanisms of priming of pop-out: Stored representations or feature-gain modulations? Attention, Perception, & Psychophysics, 71, 1059-1071. doi: 10. 3758/APP. 71. 5. 1059.
15. Lefebvre, C., Cousineau, D., & Larochelle, S. (2008). Does training under consistent mapping conditions lead to automatic attention attraction to targets in search tasks? Perception & Psychophysics, 70, 1401-1415.
16. Levi, D. M. (2008). Crowding-An essential bottleneck for object recognition: A mini-review. Vision Research, 48, 635-654. doi: 10. 1016/j. visres. 2007. 12. 009.
17. Li, S., Mayhew, S. D., & Kourtzi, Z. (2009). Learning shapes the representation of behavioral choice in the human brain. Neuron, 62, 441-452.
18. Malcolm, G. L., & Henderson, J. M. (2009). The effects of target template specificity on visual search in real-world scenes: Evidence from eye movements. Journal of Vision, 9(11), 8: 1-13. doi: 10. 1167/9. 11. 8.
19. Maljkovic, V., & Nakayama, K. (1994). Priming of pop-out: I. Role of features. Memory & Cognition, 22, 657-672. doi: 10. 3758/BF03209251.
20. McCarley, J. S., Kramer, A. F., Wickens, C. D., Vidoni, E. D., & Boot, W. R. (2004). Visual skills in airport-security screening. Psychological Science, 15, 302-306.
21. Mruczek, R. E. B., & Sheinberg, D. L. (2005). Distractor familiarity leads to more efficient visual search for complex stimuli. Perception & Psychophysics, 67, 1016-1031. doi: 10. 3758/BF03193628.
22. Mruczek, R. E. B., & Sheinberg, D. L. (2007). Activity of inferior temporal cortical neurons predicts recognition choice behavior and recognition time during visual search. Journal of Neuroscience, 27, 2825-2836.
23. Navalpakkam, V., & Itti, L. (2007). Search goal tunes visual features optimally. Neuron, 53, 605-617.
24. Peelen, M. V., Li, F.-F., & Kastner, S. (2009). Neural mechanisms of rapid natural scene categorization in human visual cortex. Nature, 460, 94-97. doi: 10. 1038/nature08103.
25. Pelli, D. G. (1997). The VideoToolbox software for visual psychophysics: Transforming numbers into movies. Spatial Vision, 10, 437-442. doi: 10. 1163/156856897X00366.
26. Pelli, D. G., Palomares, M., & Majaj, N. J. (2004). Crowding is unlike ordinary masking: Distinguishing feature integration from detection. Journal of Vision, 4(12), 12: 1136-1169. doi: 10. 1167/4. 12. 12.
27. Pietrewicz, A. T., & Kamil, A. C. (1979). Search image formation in the blue jay (Cyanocitta cristata). Science, 204, 1332-1333.
28. Schmidt, J., & Zelinsky, G. (2009). Search guidance is proportional to the categorical specificity of a target cue. Quarterly Journal of Experimental Psychology, 62, 1904-1914.
29. Schneider, W., & Shiffrin, R. M. (1977). Controlled and automatic human information processing: I. Detection, search, and attention. Psychological Review, 84, 1-66. doi: 10. 1037/0033-295X. 84. 1. 1.
30. Sigala, N., & Logothetis, N. K. (2002). Visual categorization shapes feature selectivity in the primate temporal cortex. Nature, 415, 318-320. doi: 10. 1038/415318a.
31. Sireteanu, R., & Rettenbach, R. (1995). Perceptual learning in visual search: Fast, enduring, but non-specific. Vision Research, 35, 2037-2043. doi: 10. 1016/0042-6989(94)00295-W.
32. Stokes, M., Thompson, R., Nobre, A. C., & Duncan, J. (2009). Shape-specific preparatory activity mediates attention to targets in human visual cortex. Proceedings of the National Academy of Sciences, 106, 19569-19574.
33. Suzuki, S., & Goolsby, B. A. (2003). Sequential priming is not constrained by the shape of long-term learning curves. Perception & Psychophysics, 65, 632-648.
34. Tanaka, J. W., Curran, T., & Sheinberg, D. (2005). The training and transfer of real-world, perceptual expertise. Psychological Science, 16, 145-151.
35. Tinbergen, N. (1960). The natural control of insects in pine woods: Vol. I. Factors influencing the intensity of predation by songbirds. Archives Neelandaises de Zoologie, 13, 265-343.
36. van der Linden, M., Murre, J. M. J., & van Turennout, M. (2008). Birds of a feather flock together: Experience-driven formation of visual object categories in human ventral temporal cortex. PLoS ONE, 3, e3995.
37. Vickery, T. J., King, L. W., & Jiang, Y. H. (2005). Setting up the target template in visual search. Journal of Vision, 5(1), 8: 81-92. doi: 10. 1167/5. 1. 8.
38. Wolfe, J. M. (2007). Guided Search 4. 0: Current progress with a model of visual search. In W. D. Gray (Ed.), Integrated models of cognitive systems (pp. 99-119). New York: Oxford University Press.
39. Wolfe, J. M., Horowitz, T. S., Kenner, N., Hyle, M., & Vasan, N. (2004). How fast can you change your mind: The speed of top-down guidance in visual search. Vision Research, 44, 1411-1426.
40. Zhang, Y., Meyers, E. M., Bichot, N. P., Serre, T., Poggio, T. A., & Desimone, R. (2011). Object decoding with attention in inferior temporal cortex. Proceedings of the National Academy of Sciences, 108, 8850-8855. doi: 10. 1073/pnas. 1100999108.