One of the lawlike regularities of psychological science is that of developmental progression—an increase in sensorimotor, cognitive, and social functioning from childhood to adulthood. Here, we report a rare violation of this law, a developmental reversal in attention. In Experiment 1, 4- to 5-year-olds (n = 34) and adults (n = 35) performed a change-detection task that included externally cued and uncued shapes. Whereas the adults outperformed the children on the cued shapes, the children outperformed the adults on the uncued shapes. In Experiment 2, the same participants completed a visual search task, and their memory for search-relevant and search-irrelevant information was tested. The young children outperformed the adults with respect to search-irrelevant features. This demonstration of a paradoxical property of early attention deepens current understanding of the development of attention. It also has implications for understanding early learning and cognitive development more broadly.
AmerT.HasherL. (2014). Conceptual processing of distractors by older but not younger adults. Psychological Science, 25, 2252–2258. doi:10.1177/0956797614555725
2.
BestC. A.YimH.SloutskyV. M. (2013). The cost of selective attention in category learning: Developmental differences between adults and infants. Journal of Experimental Child Psychology, 116, 105–119. doi:10.1016/j.jecp.2013.05.002
3.
BrainardD. H. (1997). The Psychophysics Toolbox. Spatial Vision, 10, 433–436.
CochD.SandersL. D.NevilleH. J. (2005). An event-related potential study of selective auditory attention in children and adults. Journal of Cognitive Neuroscience, 17, 605–622. doi:10.1162/0898929053467631
6.
ConwayA. R. A.CowanN.BuntingM. F. (2001). The cocktail party phenomenon revisited: The importance of working memory capacity. Psychonomic Bulletin & Review, 8, 331–335. doi:10.3758/BF03196169
7.
CowanN.HulmeC. (Eds.). (1998). The development of memory in childhood. Hove, England: Psychology Press.
8.
DengW.SloutskyV. M. (2015). The development of categorization: Effects of classification and inference training on category representation. Developmental Psychology, 51, 392–405. doi:10.1037/a0038749
9.
DengW.SloutskyV. M. (2016). Selective attention, diffused attention, and the development of categorization. Cognitive Psychology, 91, 24–62.
EgethH. E.VirziR. A.GarbartH. (1984). Searching for conjunctively defined targets. Journal of Experimental Psychology: Human Perception and Performance, 10, 32–39. doi:10.1037/0096-1523.10.1.32
12.
FisherA. V.GodwinK. E.SeltmanH. (2014). Visual environment, attention allocation, and learning in young children: When too much of a good thingmaybe bad. Psychological Science, 25, 1362–1370. doi:10.1177/0956797614533801
13.
FisherA. V.SloutskyV. M. (2005). When induction meets memory: Evidence for gradual transition from similarity-based to category-based induction. Child Development, 76, 583–597.
14.
HananiaR.SmithL. B. (2010). Selective attention and attention switching: Towards a unified developmental approach. Developmental Science, 13, 622–635. doi:10.1111/j.1467-7687.2009.00921.x
15.
HoffmanA. B.RehderB. (2010). The costs of supervised classification: The effect of learning task on conceptual flexibility. Journal of Experimental Psychology: General, 139, 319–340. doi:10.1037/a0019042
16.
KaminskiJ. A.SloutskyV. M. (2013). Extraneous perceptual information interferes with children’s acquisition of mathematical knowledge. Journal of Educational Psychology, 105, 351–363. doi:10.1037/a0031040
17.
KloosH.SloutskyV. M. (2008). What’s behind different kinds of kinds: Effects of statistical density on learning and representation of categories. Journal of Experimental Psychology: General, 137, 52–72. doi:10.1037/0096-3445.137.1.52
18.
LavieN.HirstA.de FockertJ. W.VidingE. (2004). Load theory of selective attention and cognitive control. Journal of Experimental Psychology: General, 133, 339–354. doi:10.1037/0096-3445.133.3.339
19.
LoewensteinG. (1994). The psychology of curiosity: A review and reinterpretation. Psychological Bulletin, 116, 75–98.
20.
LópezA.GelmanS. A.GutheilG.SmithE. E. (1992). The development of category-based induction. Child Development, 63, 1070–1090. doi:10.1111/j.1467-8624.1992.tb01681.x
21.
MarkovitsH.BarrouilletP. (2002). The development of conditional reasoning: A mental model account. Developmental Review, 22, 5–36. doi:10.1006/drev.2000.0533
22.
MillerS. A. (1988). Parents’ beliefs about children’s cognitive development. Child Development, 59, 259–285.
23.
PashlerH. (1999). The psychology of attention. Cambridge, MA: MIT Press.
24.
PashlerH.JohnstonJ. C.RuthruffE. (2001). Attention and performance. Annual Review of Psychology, 52, 629–651.
25.
PludeD. J.EnnsJ. T.BrodeurD. (1994). The development of selective attention: A life-span overview. Acta Psychologica, 86, 227–272. doi:10.1016/0001-6918(94)90004-3
26.
PosnerM. I.RothbartM. K. (2007). Research on attention networks as a model for the integration of psychological science. Annual Review of Psychology, 58, 1–23.
27.
RabiR.MindaJ. P. (2014). Rule-based category learning in children: The role of age and executive functioning. PLoS ONE, 9(1), e85316. doi:10.1371/journal.pone.0085316
28.
RockI.GutmanD. (1981). The effect of inattention on form perception. Journal of Experimental Psychology: Human Perception and Performance, 7, 275–285. doi:10.1037/0096-1523.7.2.275
29.
RuedaM. R.PosnerM. I.RothbartM. K. (2005). The development of executive attention: Contributions to the emergence of self-regulation. Developmental Neuropsychology, 28, 573–594.
30.
SloutskyV. M. (2010). From perceptual categories to concepts: What develops?Cognitive Science, 34, 1244–1286. doi:10.1111/j.1551-6709.2010.01129.x
31.
SloutskyV. M.DengW.FisherA. V.KloosH. (2015). Conceptual influences on induction: A case for a late onset. Cognitive Psychology, 82, 1–31. doi:10.1016/j.cogpsych.2015.08.005
32.
SloutskyV. M.FisherA. V. (2004). When development and learning decrease memory. Psychological Science, 15, 553–558. doi:10.1111/j.0956-7976.2004.00718.x
33.
SloutskyV. M.KloosH.FisherA. V. (2007). When looks are everything. Psychological Science, 18, 179–185. doi:10.1111/j.1467-9280.2007.01869.x
34.
SmetanaJ. G. (2006). Social domain theory: Consistencies and variations in children’s moral and social judgments. In KillenM.SmetanaJ. G. (Eds.), Handbook of moral development (pp. 119–154). Mahwah, NJ: Erlbaum.
35.
SmithL. B.KemlerD. G. (1977). Developmental trends in free classification: Evidence for a new conceptualization of perceptual development. Journal of Experimental Child Psychology, 24, 279–298. doi:10.1016/0022-0965(77)90007-8
36.
SnodgrassJ. G.CorwinJ. (1988). Pragmatics of measuring recognition memory: Applications to dementia and amnesia. Journal of Experimental Psychology: General, 117, 34–50.
37.
SonJ. Y.SmithL. B.GoldstoneR. L. (2011). Connecting instances to promote children’s relational reasoning. Journal of Experimental Child Psychology, 108, 260–277. doi:10.1016/j.jecp.2010.08.011
38.
ZelazoP.MüllerU.FryeD.MarcovitchS.ArgitisG.BoseovskiJ.CarlsonS. (2003). The development of executive function in early childhood. Monographs of the Society for Research in Child Development, 68(3).
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