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不确定性和可预测性调节人类预测性学习中的注意力。

Uncertainty and predictiveness modulate attention in human predictive learning.

机构信息

Department of Psychology.

出版信息

J Exp Psychol Gen. 2021 Jun;150(6):1177-1202. doi: 10.1037/xge0000991. Epub 2020 Nov 30.

Abstract

[Correction Notice: An Erratum for this article was reported online in on Jan 14 2021 (see record 2021-07705-001). In the article, formatting for UK Research Councils funding was omitted. The author note and copyright line now reflect the standard acknowledgment of and formatting for the funding received for this article. All versions of this article have been corrected.] Attention determines which cues receive processing and are learned about. Learning, however, leads to attentional biases. In the study of animal learning, in some circumstances, cues that have been previously predictive of their consequences are subsequently learned about more than are nonpredictive cues, suggesting that they receive more attention. In other circumstances, cues that have previously led to uncertain consequences are learned about more than are predictive cues. In human learning, there is a clear role for predictiveness, but a role for uncertainty has been less clear. Here, in a human learning task, we show that cues that led to uncertain outcomes were subsequently learned about more than were cues that were previously predictive of their outcomes. This effect occurred when there were few uncertain cues. When the number of uncertain cues was increased, attention switched to predictive cues. This pattern of results was found for cues (1) that were uncertain because they led to 2 different outcomes equally often in a nonpredictable manner and (2) that were used in a nonlinear discrimination and were not predictive individually but were predictive in combination with other cues. This suggests that both the opposing predictiveness and uncertainty effects were determined by the relationship between individual cues and outcomes rather than the predictive strength of combined cues. These results demonstrate that learning affects attention; however, the precise nature of the effect on attention depends on the level of task complexity, which reflects a potential switch between exploration and exploitation of cues. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

摘要

[勘误通知:本文的勘误在线上于 2021 年 1 月 14 日报道(见记录 2021-07705-001)。在本文中,省略了英国研究委员会资助的格式。作者注释和版权行现在反映了为本文收到的资助的标准承认和格式。本文的所有版本都已更正。]注意力决定哪些线索会被处理和学习。然而,学习会导致注意力偏差。在动物学习的研究中,在某些情况下,先前预测其结果的线索比非预测性线索更受关注。在其他情况下,先前导致不确定结果的线索比预测性线索更容易被学习。在人类学习中,预测性有明确的作用,但不确定性的作用不太明确。在这里,在一项人类学习任务中,我们表明,导致不确定结果的线索比先前预测结果的线索更容易被学习。当不确定的线索很少时,就会出现这种效果。当不确定线索的数量增加时,注意力会转向预测性线索。这种结果模式出现在线索上:(1)由于它们以不可预测的方式同样频繁地导致 2 种不同的结果,因此是不确定的;(2)它们被用于非线性判别,单独使用时没有预测性,但与其他线索结合使用时具有预测性。这表明,个体线索和结果之间的关系决定了对立的预测性和不确定性效应,而不是组合线索的预测强度。这些结果表明,学习会影响注意力;然而,注意力的精确影响取决于任务复杂性的水平,这反映了线索探索和利用之间的潜在转换。(PsycInfo 数据库记录(c)2021 APA,保留所有权利)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c587/8515774/091a87e669bf/xge_150_6_1177_fig1a.jpg

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