Abstract
Statistical regularities in our environment enhance perception and modulate the allocation of spatial attention. Surprisingly little is known about how learning-induced changes in spatial attention transfer across tasks. In this study, we investigated whether a spatial attentional bias learned in one task transfers to another. Most of the experiments began with a training phase in which a search target was more likely to be located in one quadrant of the screen than in the other quadrants. An attentional bias toward the high-probability quadrant developed during training (probability cuing). In a subsequent, testing phase, the target’s location distribution became random. In addition, the training and testing phases were based on different tasks. Probability cuing did not transfer between visual search and a foraging-like task. However, it did transfer between various types of visual search tasks that differed in stimuli and difficulty. These data suggest that different visual search tasks share a common and transferrable learned attentional bias. However, this bias is not shared by high-level, decision-making tasks such as foraging.
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Notes
We thank Roger Remington for this reference.
The T/L search task is most accurately described as a spatial configuration search task, a form of extremely inefficient search task (Wolfe, 1998). For simplicity of description, we use the term “conjunction search.”
References
Anguera, J. A., Boccanfuso, J., Rintoul, J. L., Al-Hashimi, O., Faraji, F., Janowich, J., . . . Gazzaley, A. (2013). Video game training enhances cognitive control in older adults. Nature, 501, 97–101. doi:10.1038/nature12486
Awh, E., Belopolsky, A. V., & Theeuwes, J. (2012). Top-down versus bottom-up attentional control: A failed theoretical dichotomy. Trends in Cognitive Sciences, 16, 437–443. doi:10.1016/j.tics.2012.06.010
Baum, W. M. (1974). On two types of deviation from the matching law: Bias and undermatching. Journal of the Experimental Analysis of Behavior, 22, 231–242.
Berry, D. C., Banbury, S., & Henry, L. (1997). Transfer across form and modality in implicit and explicit memory. Quarterly Journal of Experimental Psychology, 50A, 1–24. doi:10.1080/713755685
Bisley, J. W., & Goldberg, M. E. (2010). Attention, intention, and priority in the parietal lobe. Annual Review of Neuroscience, 33, 1–21. doi:10.1146/annurev-neuro-060909-152823
Brady, T. F., & Chun, M. M. (2007). Spatial constraints on learning in visual search: Modeling contextual cuing. Journal of Experimental Psychology: Human Perception and Performance, 33, 798–815. doi:10.1037/0096-1523.33.4.798
Brainard, D. H. (1997). The psychophysics toolbox. Spatial Vision, 10, 433–436. doi:10.1163/156856897X00357
Chun, M. M. (2000). Contextual cueing of visual attention. Trends in Cognitive Sciences, 4, 170–178. doi:10.1016/S1364-6613(00)01476-5
Chun, M. M., Golomb, J. D., & Turk-Browne, N. B. (2011). A taxonomy of external and internal attention. Annual Review of Psychology, 62, 73–101. doi:10.1146/annurev.psych.093008.100427
Chun, M. M., & Jiang, Y. (1998). Contextual cueing: Implicit learning and memory of visual context guides spatial attention. Cognitive Psychology, 36, 28–71. doi:10.1006/cogp.1998.0681
Desimone, R., & Duncan, J. (1995). Neural mechanisms of selective visual attention. Annual Review of Neuroscience, 18, 193–222. doi:10.1146/annurev.ne.18.030195.001205
Dienes, Z., & Berry, D. (1997). Implicit learning: Below the subjective threshold. Psychonomic Bulletin & Review, 4, 3–23. doi:10.3758/BF03210769
Druker, M., & Anderson, B. (2010). Spatial probability aids visual stimulus discrimination. Frontiers in Human Neuroscience, 4, 63. doi:10.3389/fnhum.2010.00063
Duncan, J. (2010). The multiple-demand (MD) system of the primate brain: Mental programs for intelligent behaviour. Trends in Cognitive Sciences, 14, 172–179. doi:10.1016/j.tics.2010.01.004
Egeth, H. E., & Yantis, S. (1997). Visual attention: Control, representation, and time course. Annual Review of Psychology, 48, 269–297. doi:10.1146/annurev.psych.48.1.269
Faubert, J. (2013). Professional athletes have extraordinary skills for rapidly learning complex and neutral dynamic visual scenes. Scientific Reports, 3, 1154. doi:10.1038/srep01154
Fecteau, J. H., & Munoz, D. P. (2006). Salience, relevance, and firing: A priority map for target selection. Trends in Cognitive Sciences, 10, 382–390. doi:10.1016/j.tics.2006.06.011
Fiser, J., & Aslin, R. N. (2001). Unsupervised statistical learning of higher-order spatial structures from visual scenes. Psychological Science, 12, 499–504.
Fiser, J., & Aslin, R. N. (2005). Encoding multielement scenes: Statistical learning of visual feature hierarchies. Journal of Experimental Psychology: General, 134, 521–537. doi:10.1037/0096-3445.134.4.521
Folstein, J. R., Gauthier, I., & Palmeri, T. J. (2010). Mere exposure alters category learning of novel objects. Frontiers in Psychology, 1, 40. doi:10.3389/fpsyg.2010.00040
Geng, J. J., & Behrmann, M. (2002). Probability cuing of target location facilitates visual search implicitly in normal participants and patients with hemispatial neglect. Psychological Science, 13, 520–525. doi:10.1111/1467-9280.00491
Geng, J. J., & Behrmann, M. (2005). Spatial probability as an attentional cue in visual search. Perception & Psychophysics, 67, 1252–1268.
Geyer, T., Zehetleitner, M., & Müller, H. J. (2010). Contextual cueing of pop-out visual search: When context guides the deployment of attention. Journal of Vision, 10(5), 20. doi:10.1167/10.5.20
Green, C. S., & Bavelier, D. (2003). Action video game modifies visual selective attention. Nature, 423, 534–537. doi:10.1038/nature01647
Green, C. S., Pouget, A., & Bavelier, D. (2010). Improved probabilistic inference as a general learning mechanism with action video games. Current Biology, 20, 1573–1579. doi:10.1016/j.cub.2010.07.040
Hay, J. F., Pelucchi, B., Graf Estes, K., & Saffran, J. R. (2011). Linking sounds to meanings: Infant statistical learning in a natural language. Cognitive Psychology, 63, 93–106. doi:10.1016/j.cogpsych.2011.06.002
Herrnstein, R. J. (1974). Formal properties of the matching law. Journal of the Experimental Analysis of Behavior, 21, 159–164. doi:10.1901/jeab.1974.21-159
Hutchinson, J. B., & Turk-Browne, N. B. (2012). Memory-guided attention: Control from multiple memory systems. Trends in Cognitive Sciences, 16, 576–579. doi:10.1016/j.tics.2012.10.003
Itti, L., & Koch, C. (2001). Computational modelling of visual attention. Nature Reviews Neuroscience, 2, 194–203. doi:10.1038/35058500
Jaeggi, S. M., Buschkuehl, M., Jonides, J., & Perrig, W. J. (2008). Improving fluid intelligence with training on working memory. Proceedings of the National Academy of Sciences, 105, 6829–6833. doi:10.1073/pnas.0801268105
Jaeggi, S. M., Buschkuehl, M., Jonides, J., & Shah, P. (2011). Short- and long-term benefits of cognitive training. Proceedings of the National Academy of Sciences, 108, 10081–10086. doi:10.1073/pnas.1103228108
Jiang, Y., & Kanwisher, N. (2003). Common neural mechanisms for response selection and perceptual processing. Journal of Cognitive Neuroscience, 15, 1095–1110. doi:10.1162/089892903322598076
Jiang, Y., & Song, J.-H. (2005). Spatial context learning in visual search and change detection. Perception & Psychophysics, 67, 1128–1139.
Jiang, Y. V., & Swallow, K. M. (2013a). Body and head tilt reveals multiple frames of reference for spatial attention. Journal of Vision, 13(13), 9. doi:10.1167/13.13.9
Jiang, Y. V., & Swallow, K. M. (2013b). Spatial reference frame of incidentally learned attention. Cognition, 126, 378–390. doi:10.1016/j.cognition.2012.10.011
Jiang, Y. V., Swallow, K. M., Rosenbaum, G. M., & Herzig, C. (2013). Rapid acquisition but slow extinction of an attentional bias in space. Journal of Experimental Psychology: Human Perception and Performance, 39, 87–99. doi:10.1037/a0027611
Jiang, Y. V., Swallow, K. M., & Capistrano, C. G. (2013). Visual search and location probability learning from variable perspectives. Journal of Vision, 13(6), 13. doi:10.1167/13.6.13
Jiang, Y. V., Swallow, K. M., & Rosenbaum, G. M. (2013). Guidance of spatial attention by incidental learning and endogenous cuing. Journal of Experimental Psychology: Human Perception and Performance, 39, 285–297. doi:10.1037/a0028022
Jiang, Y. V., Swallow, K. M., & Sun, L. (2014). Egocentric coding of space for incidentally learned attention: Effects of scene context and task instructions. Journal of Experimental Psychology: Learning, Memory, and Cognition, 40, 233–250. doi:10.1037/a0033870
Jiang, Y. V., Won, B.-Y., & Swallow, K. M. (2014). First saccadic eye movement reveals persistent attentional guidance by implicit learning. Journal of Experimental Psychology: Human Perception and Performance, 40, 1161–1173. doi:10.1037/a0035961
Kunar, M., Flusberg, S., Horowitz, T., & Wolfe, J. (2007). Does contextual cuing guide the deployment of attention? Journal of Experimental Psychology, 33, 816–828. doi:10.1037/0096-1523.33.4.816
Logan, G. D. (2002). An instance theory of attention and memory. Psychological Review, 109, 376–400. doi:10.1037/0033-295X.109.2.376
Makovski, T., Vázquez, G. A., & Jiang, Y. V. (2008). Visual learning in multiple-object tracking. PLoS ONE, 3, e2228. doi:10.1371/journal.pone.0002228
Miller, J. (1988). Components of the location probability effect in visual search tasks. Journal of Experimental Psychology: Human Perception and Performance, 14, 453–471. doi:10.1037/0096-1523.14.3.453
Namikas, G., & Archer, E. J. (1960). Motor skill transfer as a function of intertask interval and pretransfer task difficulty. Journal of Experimental Psychology, 59, 109–112.
Norman, D. A., & Bobrow, D. G. (1975). On data-limited and resource-limited processes. Cognitive Psychology, 7, 44–64. doi:10.1016/0010-0285(75)90004-3
Olson, I. R., & Chun, M. M. (2001). Temporal contextual cuing of visual attention. Journal of Experimental Psychology: Learning, Memory, and Cognition, 27, 1299–1313. doi:10.1037/0278-7393.27.5.1299
Orbán, G., Fiser, J., Aslin, R. N., & Lengyel, M. (2008). Bayesian learning of visual chunks by human observers. Proceedings of the National Academy of Sciences, 105, 2745–2750. doi:10.1073/pnas.0708424105
Owen, A. M., Hampshire, A., Grahn, J. A., Stenton, R., Dajani, S., Burns, A. S., . . . Ballard, C. G. (2010). Putting brain training to the test. Nature, 465, 775–778. doi:10.1038/nature09042
Pelli, D. G. (1997). The VideoToolbox software for visual psychophysics: Transforming numbers into movies. Spatial Vision, 10, 437–442. doi:10.1163/156856897X00366
Pierce, W. D., & Epling, W. F. (1983). Choice, matching, and human behavior: A review of the literature. Behavior Analyst/MABA, 6, 57–76.
Reber, A. S. (1993). Implicit learning and tacit knowledge an essay on the cognitive unconscious. New York, NY: Oxford University Press.
Redick, T. S., Shipstead, Z., Harrison, T. L., Hicks, K. L., Fried, D. E., Hambrick, D. Z., . . . Engle, R. W. (2013). No evidence of intelligence improvement after working memory training: A randomized, placebo-controlled study. Journal of Experimental Psychology: General, 142, 359–379. doi:10.1037/a0029082
Rosenbaum, G. M., & Jiang, Y. V. (2013). Interaction between scene-based and array-based contextual cueing. Attention, Perception, & Psychophysics, 75, 888–899. doi:10.3758/s13414-013-0446-9
Saffran, J. R., Aslin, R. N., & Newport, E. L. (1996). Statistical learning by 8-month-old infants. Science, 274, 1926–1928. doi:10.1126/science.274.5294.1926
Sutton, R. S., & Barto, A. G. (1998). Reinforcement learning: An introduction. Cambridge, MA: MIT Press, Bradford Books.
Swallow, K. M., & Zacks, J. M. (2008). Sequences learned without awareness can orient attention during the perception of human activity. Psychonomic Bulletin & Review, 15, 116–122. doi:10.3758/PBR.15.1.116
Thompson, T. W., Waskom, M. L., Garel, K.-L. A., Cardenas-Iniguez, C., Reynolds, G. O., Winter, R., . . . Gabrieli, J. D. E. (2013). Failure of working memory training to enhance cognition or intelligence. PLoS ONE, 8, e63614. doi:10.1371/journal.pone.0063614
Treisman, A. (1988). Features and objects: The Fourteenth Bartlett Memorial Lecture. Quarterly Journal of Experimental Psychology, 40A, 201–237. doi:10.1080/02724988843000104
Turk-Browne, N. B. (2012). Statistical learning and its consequences. Nebraska Symposium on Motivation, 59, 117–146.
Turk-Browne, N. B., Jungé, J., & Scholl, B. J. (2005). The automaticity of visual statistical learning. Journal of Experimental Psychology: General, 134, 552–564. doi:10.1037/0096-3445.134.4.552
Walthew, C., & Gilchrist, I. D. (2006). Target location probability effects in visual search: An effect of sequential dependencies. Journal of Experimental Psychology: Human Perception and Performance, 32, 1294–1301. doi:10.1037/0096-1523.32.5.1294
Wojciulik, E., & Kanwisher, N. (1999). The generality of parietal involvement in visual attention. Neuron, 23, 747–764.
Wolfe, J. (1998). What can 1 million trials tell us about visual search? Psychological Science, 9, 33–39. doi:10.1111/1467-9280.00006
Wolfe, J. (2007). Guided Search 4.0: Current progress with a model of visual search. In W. Gray (Ed.), Integrated models of cognitive systems (pp. 99–119). New York, NY: Oxford University.
Wolfe, J. M., Friedman-Hill, S. R., Stewart, M. I., & O’Connell, K. M. (1992). The role of categorization in visual search for orientation. Journal of Experimental Psychology: Human Perception and Performance, 18, 34–49. doi:10.1037/0096-1523.18.1.34
Zhao, J., Al-Aidroos, N., & Turk-Browne, N. B. (2013). Attention is spontaneously biased toward regularities. Psychological Science, 24, 667–677. doi:10.1177/0956797612460407
Zhao, J., Ngo, N., McKendrick, R., & Turk-Browne, N. B. (2011). Mutual interference between statistical summary perception and statistical learning. Psychological Science, 22, 1212–1219. doi:10.1177/0956797611419304
Author note
This study was supported in part by NIH Grant No. MH102586. We thank Jeremy Wolfe and Roger Remington for discussions, and Anthony Asaad, Lily Berrin, Christian Capistrano, Youngki Hong, Hyejin Lee, Jie Hua Ong, and Heather Sigstad for help with data collection.
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Jiang, Y.V., Swallow, K.M., Won, BY. et al. Task specificity of attention training: the case of probability cuing. Atten Percept Psychophys 77, 50–66 (2015). https://doi.org/10.3758/s13414-014-0747-7
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DOI: https://doi.org/10.3758/s13414-014-0747-7