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10-11-2020 | Original Article

Visual statistical learning in children and adults: evidence from probability cueing

Auteurs: Yingying Yang, Qiongya Song

Gepubliceerd in: Psychological Research | Uitgave 8/2021

Abstract

In visual statistical learning (VSL), one can extract and exhibit memory for the statistical regularities of target locations in an incidental manner. The current study examined the development of VSL using the probability cueing paradigm with salient perceptual cues. We also investigated the elicited attention gradient phenomenon in VSL. In a visual search task, the target first appeared more often in one quadrant (i.e., rich) than the other quadrants (i.e., sparse). Then, the participants rotated the screen by 90° and the targets appeared in the four quadrants with equal probabilities. Each quadrant had a unique background color and was, hence, associated with salient perceptual cues. 1st–4th graders and adults participated. All participants showed probability cueing effects to a similar extent. We observed an attention gradient phenomenon, as all participants responded slower to the sparse quadrant that was distant from, rather than the ones that were adjacent to the rich quadrant. In the testing phase, all age groups showed persistent attentional biases based on both egocentric and allocentric perspectives. These findings showed that probability cueing effects may develop early, that perceptual cues can bias attention guidance during VSL for both children and adults, and that VSL can elicit a spaced-based attention gradient phenomenon for children and adults.

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If we use the critical t value of 3.182 (df = 3, since there are 4 epochs), only 7 subjects’ results were significant.

Allenmark, F., Zhang, B., Liesefeld, H. R., Shi, Z., Müller, H. J., Allenmark, F., & Müller, H. J. (2019). Probability Cueing of Singleton-Distractor Locations in Visual Search: Priority-Map- Versus Dimension-Based Inhibition? Journal of Experimental Psychology: Human Perception and Performance, 45(9), 1146–1163. https://doi.org/10.1037/xhp0000652CrossRefPubMed

Brockmole, J. R., & Henderson, J. M. (2006a). Using real-world scenes as contextual cues for search. Visual Cognition, 13(1), 99–108.CrossRef

Brockmole, J. R., & Henderson, J. M. (2006b). Short article: Recognition and attention guidance during contextual cueing in real-world scenes: Evidencefrom eye movements. Quarterly journal of experimental psychology, 59(7), 1177–1187.CrossRef

Cavallina, C., Puccio, G., Capurso, M., Bremner, A. J., & Santangelo, V. (2018). Cognitive development attenuates audiovisual distraction and promotes the selection of task-relevant perceptual saliency during visual search on complex scenes. Cognition, 180(June), 91–98. https://doi.org/10.1016/j.cognition.2018.07.003CrossRefPubMed

Chun, M. M., & Jiang, Y. (1998). Contextual cueing: Implicit learning and memory of visual context guides spatial attention. Cognitive Psychology, 36(1), 28–71.CrossRef

Chun, M. M., & Jiang, Y. (2003). Implicit, long-term spatial contextual memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29(2), 224.PubMed

Fiser, J., & Aslin, R. N. (2002). Statistical learning of higher-order temporal structure from visual shape sequences. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28(3), 458–467. https://doi.org/10.1037/0278-7393.28.3.458CrossRefPubMed

Gaspelin, N., Margett-Jordan, T., & Ruthruff, E. (2015). Susceptible to distraction: Children lack top-down control over spatial attention capture. Psychonomic Bulletin and Review, 22(2), 461–468. https://doi.org/10.3758/s13423-014-0708-0CrossRefPubMed

Goschy, H., Bakos, S., Müller, H. J., & Zehetleitner, M. (2014). Probability cueing of distractor locations: both intertrial facilitation and statistical learning mediate interference reduction. Frontiers in psychology, 5, 1195.CrossRef

Goujon, A., Didierjean, A., & Thorpe, S. (2015). Investigating implicit statistical learning mechanisms through contextual cueing. Trends in Cognitive Sciences, 19(9), 524–533.CrossRef

Hommel, B., Li, K. Z. H., & Li, S.-C. (2004). Visual Search Across the Life Span. https://doi.org/10.1037/0012-1649.40.4.545CrossRef

Jiang, Y. V., Capistrano, C. G., Esler, A. N., & Swallow, K. M. (2013a). Directing attention based on incidental learning in children with autism spectrum disorder. Neuropsychology, 27(2), 161–169. https://doi.org/10.1037/a0031648CrossRefPubMed

Jiang, Y. V., Swallow, K. M., & Capistrano, C. G. (2013b). Visual search and location probability learning from variable perspectives. Journal of Vision, 13(6), 13–13. https://doi.org/10.1167/13.6.13CrossRefPubMed

Jiang, Y. V., Swallow, K. M., & Rosenbaum, G. M. (2013c). Guidance of spatial attention by incidental learning and endogenous cuing. Journal of Experimental Psychology: Human Perception and Performance, 39(1), 285–297. https://doi.org/10.1037/a0028022CrossRefPubMed

Jiang, Y. V., Swallow, K. M., Rosenbaum, G. M., & Herzig, C. (2013d). Rapid acquisition but slow extinction of an attentional bias in space. Journal of Experimental Psychology: Human Perception and Performance, 39(1), 87–99. https://doi.org/10.1037/a0027611CrossRefPubMed

Jiang, Y. V., & Swallow, K. M. (2013). Spatial reference frame of incidentally learned attention. Cognition, 126(3), 378–390. https://doi.org/10.1016/j.cognition.2012.10.011CrossRefPubMed

Jiang, Y. V., Won, B. Y., & Swallow, K. M. (2014a). First saccadic eye movement reveals persistent attentional guidance by implicit learning. Journal of Experimental Psychology: Human Perception and Performance, 40(3), 1161–1173. https://doi.org/10.1037/A0035961CrossRefPubMed

Jiang, Y. V., Swallow, K. M., & Sun, L. (2014b). Egocentric coding of space for incidentally learned attention: Effects of scene context and task instructions. Journal of Experimental Psychology: Learning Memory and Cognition, 40(1), 233–250. https://doi.org/10.1037/a0033870CrossRef

Jiang, Y. V., & Won, B. Y. (2015). Spatial scale, rather than nature of task or locomotion, modulates the spatial reference frame of attention. Journal of Experimental Psychology: Human Perception and Performance, 41(3), 866–878. https://doi.org/10.1037/xhp0000056CrossRefPubMed

Kirkham, N. Z., Slemmer, J. A., & Johnson, S. P. (2002). Visual statistical learning in infancy: Evidence for a domain general learning mechanism. Cognition, 83(2), B35–B42. https://doi.org/10.1016/S0010-0277(02)00004-5CrossRefPubMed

LaBerge, D., & Brown, V. (1989). Theory of Attentional Operations in Shape Identification. Psychological Review, 96(1), 101–124. https://doi.org/10.1037/0033-295X.96.1.101CrossRef

Leber, A. B., Gwinn, R. E., Hong, Y., & O’Toole, R. J. (2016). Implicitly learned suppression of irrelevant spatial locations. Psychonomic Bulletin and Review, 23(6), 1873–1881. https://doi.org/10.3758/s13423-016-1065-yCrossRefPubMed

Levine, L. E., & Munsch, J. (2010). Child development: An active learning approach: An active learning approach. Addison: Sage.

Liesefeld, H. R., & Müller, H. J. (2020). A theoretical attempt to revive the serial/parallel-search dichotomy. Attention, Perception, and Psychophysics, 82(1), 228–245. https://doi.org/10.3758/s13414-019-01819-zCrossRef

Lookadoo, R., Yang, Y., & Merrill, E. C. (2017). Encouraging top-down attention in visual search: A developmental perspective. Attention, Perception, and Psychophysics,. https://doi.org/10.3758/s13414-017-1379-5CrossRef

Merrill, E. C., Conners, F. A., Yang, Y., & Weathington, D. (2014). The acquisition of contextual cueing effects by persons with and without intellectual disability. Research in Developmental Disabilities. https://doi.org/10.1016/j.ridd.2014.05.026CrossRefPubMedPubMedCentral

Reber, A. S. (1989). Implicit learning and tacit knowledge. Journal of Experimental Psychology: General, 118(3), 219.CrossRef

Saffran, J. R., Aslin, R. N., & Newport, E. L. (1996). Statistical learning by 8-month-old infants. Science, 274(5294), 1926–1928. https://doi.org/10.1126/science.274.5294.1926CrossRef

Sauter, M., Liesefeld, H. R., Zehetleitner, M., & Müller, H. J. (2018). Region-based shielding of visual search from salient distractors: Target detection is impaired with same- but not different-dimension distractors. Attention, Perception, and Psychophysics, 80(3), 622–642. https://doi.org/10.3758/s13414-017-1477-4CrossRef

Saffran, J. R., & Kirkham, N. Z. (2018). Infant statistical learning. Annual Review of Psychology, 69(1), 181–203. https://doi.org/10.1146/annurev-psych-122216-011805CrossRefPubMed

Theeuwes, J. (2010). Top-down and bottom-up control of visual selection. Acta Psychologica, 135(2), 77–99. https://doi.org/10.1016/j.actpsy.2010.02.006CrossRefPubMed

Vadillo, M. A., Linssen, D., Orgaz, C., Parsons, S., & Shanks, D. R. (2020). Unconscious or underpowered? Probabilistic cuing of visual attention. Journal of Experimental Psychology: General, 149(1), 160–181. https://doi.org/10.1037/xge0000632CrossRef

Wang, B., & Theeuwes, J. (2018a). Statistical regularities modulate attentional capture. Journal of Experimental Psychology. Human Perception and Performance, 44(1), 13–17. https://doi.org/10.1037/xhp0000472CrossRefPubMed

Wang, B., & Theeuwes, J. (2018b). Statistical regularities modulate attentional capture independent of search strategy. Attention, Perception, and Psychophysics, 80(7), 1763–1774. https://doi.org/10.3758/s13414-018-1562-3CrossRef

Yang, Y., & Merrill, E. C. (2014). The impact of distracter-target similarity on contextual cueing effects of children and adults. Journal of Experimental Child Psychology. https://doi.org/10.1016/j.jecp.2013.10.009CrossRefPubMed

Yang, Y., & Merrill, E. C. (2015a). Age-related similarities in contextual cueing in the presence of unpredictive distracters. Journal of Genetic Psychology. https://doi.org/10.1080/00221325.2014.995585CrossRef

Yang, Y., & Merrill, E. C. (2015b). Response cost to repeated displays—When previous distractors become targets. Quarterly Journal of Experimental Psychology, 68(4), 625–634. https://doi.org/10.1080/17470218.2015.1007149CrossRef

Yang, Y., & Merrill, E. C. (2015c). The impact of signal-to-noise ratio on contextual cueing in children and adults. Journal of Experimental Child Psychology. https://doi.org/10.1016/j.jecp.2014.12.005CrossRefPubMed

Yantis, S., & Egeth, H. E. (1999). On the distinction between visual salience and stimulus-driven attentional capture. Journal of Experimental Psychology: Human Perception and Performance, 25(3), 661–676. https://doi.org/10.1037/0096-1523.25.3.661CrossRefPubMed

Zhao, J., Al-Aidroos, N., & Turk-Browne, N. B. (2013). Attention is spontaneously biased toward regularities. Psychological Science, 24(5), 667–677. https://doi.org/10.1177/0956797612460407CrossRefPubMed

Titel: Visual statistical learning in children and adults: evidence from probability cueing
Auteurs: Yingying Yang
Qiongya Song
Publicatiedatum: 10-11-2020
Uitgeverij: Springer Berlin Heidelberg
Gepubliceerd in: Psychological Research / Uitgave 8/2021
Print ISSN: 0340-0727
Elektronisch ISSN: 1430-2772
DOI: https://doi.org/10.1007/s00426-020-01445-7

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