Does contextual cuing guide the deployment of attention?
Kunar, Melina A., Flusberg, Stephen, Horowitz, Todd S. and Wolfe, Jeremy M.. (2007) Does contextual cuing guide the deployment of attention? Journal of Experimental Psychology: Human Perception and Performance, Vol.33 (No.4). pp. 816-828. ISSN 0096-1523Full text not available from this repository.
Official URL: http://dx.doi.org/10.1037/0096-15188.8.131.526
Contextual cuing experiments show that when displays are repeated, reaction times to find a target decrease over time even when observers are not aware of the repetition. It has been thought that the context of the display guides attention to the target. The authors tested this hypothesis by comparing the effects of guidance in a standard search task with the effects of contextual cuing. First, in standard search, an improvement in guidance causes search slopes (derived from Reaction Time × Set Size functions) to decrease. In contrast, the authors found that search slopes in contextual cuing did not become more efficient over time (Experiment 1). Second, when guidance was optimal (e.g., in easy feature search), they still found a small but reliable contextual cuing effect (Experiments 2a and 2b), suggesting that other factors, such as response selection, contribute to the effect. Experiment 3 supported this hypothesis by showing that the contextual cuing effect disappeared when the authors added interference to the response selection process. Overall, the data suggest that the relationship between guidance and contextual cuing is weak and that response selection can account for part of the effect.
|Item Type:||Journal Article|
|Subjects:||B Philosophy. Psychology. Religion > BF Psychology|
|Divisions:||Faculty of Science > Psychology|
|Library of Congress Subject Headings (LCSH):||Visual perception, Distraction (Psychology), Attention -- Research|
|Journal or Publication Title:||Journal of Experimental Psychology: Human Perception and Performance|
|Publisher:||American Psychological Association|
|Page Range:||pp. 816-828|
|Funder:||National Institute of Mental Health (U.S.)|
|References:||Biederman, I. (1972, July 7). Perceiving real-world scenes. Science, 177, 77–80. Brady, T. F., & Chun, M. M. (2006). Spatial constraints on learning in visual search: modeling contextual cueing. Manuscript submitted for publication. Brainard, D. H. (1997). The Psychophysics Toolbox. Spatial Vision, 10, 443–446. Chun, M. M. (2000). Contextual cueing of visual attention. Trends in Cognitive Science, 4, 170–178. Chun, M. M., & Jiang, Y. (1998). Contextual cueing: Implicit learning and memory of visual context guides spatial attention. Cognitive Psychology, 36, 28–71. Chun, M. M., & Jiang, Y. (1999). Top-down attentional guidance based on implicit learning of visual covariation. Psychological Science, 10, 360 –365. Chun, M. M., & Jiang, Y. (2003). Implicit, long-term spatial contextual memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29, 224–234. Cohen, A., & Magen, H. (1999). Intra- and cross-dimensional visual search for single feature targets. Perception & Psychophysics, 61, 291–307. Cohen, A., & Shoup, R. (1997). Perceptual dimensional constraints in response selection processes. Cognitive Psychology, 32, 128–181. Endo, N., & Takeda, Y. (2004). Selective learning of spatial configuration and object identity in visual search. Perception & Psychophysics, 66, 293–302. Eriksen, B. A., & Eriksen, C. W. (1974). Effects of noise letters upon the identification of a target letter in a nonsearch task. Perception & Psychophysics, 16, 143–149. Fazl, A., Grossberg, S., & Mingolla, E. (2005). Invariant object learning and recognition using active eye movements and attentional control [Abstract]. Journal of Vision, 5, 738a. Hodsoll, J. P., & Humphreys, G. W. (2005). Preview search and contextual cuing. Journal of Experimental Psychology: Human Perception and Performance, 31, 1346–1358. Hoffmann, J., & Sebald, A. (2005). Local contextual cuing in visual search. Experimental Psychology, 52, 31–38. Ishihara, I. (1980). Ishihara’s Tests for Color-Blindness: Concise Edition. Tokyo, Japan: Kanehara. Jiang, Y., & Chun, M. M. (2001). Selective attention modulates implicit learning. Quarterly Journal of Experimental Psychology: Human Experimental Psychology, 54(A), 1105–1124. Jiang, Y., Leung, A., & Burks, S. (2005). Source of individual differences in spatial context learning. Manuscript submitted for publication. Jiang, Y., & Leung, A. W. (2005). Implicit learning of ignored visual context. Psychonomic Bulletin & Review, 12, 100–106. Jiang, Y., Song, J.-H., & Rigas, A. (2005). High-capacity spatial contextual memory. Psychonomic Bulletin & Review, 12, 524–529. Jiang, Y., & Wagner, L. C. (2004). What is learned in spatial contextual cuing—Configuration or individual locations? Perception & Psychophysics, 66, 454–463. Kunar, M. A., Flusberg, S. J., & Wolfe, J. M. (2006a). Contextual cueing by global features. Perception & Psychophysics, 68, 1204–1216. Kunar, M. A., Flusberg, S. J., & Wolfe, J. M. (2006b). Time to guide: Evidence for delayed attentional guidance in contextual cueing. Manuscript submitted for publication. Lleras, A., & Von Mu¨hlenen, A. (2004). Spatial context and top-down strategies in visual search. Spatial Vision, 17(4 –5), 465–482. Olson, I. R., & Chun, M. M. (2002). Perceptual constraints on implicit learning of spatial context. Visual Cognition, 9, 273–302. Pelli, D. G. (1997). The VideoToolbox software for visual psychophysics: Transforming numbers into movies. Spatial Vision, 10, 437–442. Peterson, M. S., & Kramer, A. F. (2001). Attentional guidance of the eyes by contextual information and abrupt onsets. Perception & Psychophysics, 63, 1239–1249. Starreveld, P. A., Theeuwes, J., & Mortier, K. (2004). Response selection in visual search: The influence of response compatibility of nontargets. Journal of Experimental Psychology: Human Perception and Performance, 30, 56–78. Townsend, J. T., & Ashby, F. G. (1978). Methods of modeling capacity in simple processing systems. In N. J. Castellan Jr. & F. Restle (Eds.), Cognitive theory (Vol. 3, pp. 199–239). Hillsdale, NJ: Erlbaum. Treisman, A. (1985). Preattentive processing in vision. Computer Vision, Graphics and Image Processing, 31, 156–177. Treisman, A., & Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology, 12, 97–136. Tseng, Y., & Li, C. R. (2004). Oculomotor correlates of context-guided learning in visual search. Perception & Psychophysics, 66, 1363– 1378. Wolfe, J. M. (1998). What do 1,000,000 trials tell us about visual search? Psychological Science, 9, 33–39. Wolfe, J. M., & Horowitz, T. S. (2004). What attributes guide the deployment of visual attention and how do they do it? Nature Reviews Neuroscience, 5, 495–501. Wolfe, J. M., Oliva, A., Horowitz, T. S., Butcher, S. J., & Bompas, A. (2002). Segmentation of objects from backgrounds in visual search tasks. Vision Research, 42, 2985–3004.|
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