Implicit Learning of Parity and Magnitude Associations with Number Color

Associative learning can occur implicitly for stimuli that occur together probabilistically. It is debated whether probabilistic, implicit learning occurs not only at the item level, but also at the category level. Here, we investigated whether associative learning would occur between color and nume...

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Main Authors: Talia L. Retter, Christine Schiltz
Format: Article
Language:English
Published: Ubiquity Press 2025-01-01
Series:Journal of Cognition
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Online Access:https://account.journalofcognition.org/index.php/up-j-jc/article/view/428
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author Talia L. Retter
Christine Schiltz
author_facet Talia L. Retter
Christine Schiltz
author_sort Talia L. Retter
collection DOAJ
description Associative learning can occur implicitly for stimuli that occur together probabilistically. It is debated whether probabilistic, implicit learning occurs not only at the item level, but also at the category level. Here, we investigated whether associative learning would occur between color and numerical categories, while participants performed a color task. In category-level experiments for each parity and magnitude, high-probability pairings of four numbers with one color were categorically consistent (e.g., the Arabic numerals 2,4,6, and 8 appeared in blue with a high probability, p = .9). Associative learning was measured as higher performance for high-probability vs. low-probability color/number pairings. For both parity and magnitude, performance was significantly better for high- vs. low-probability trials (parity: 3.1% more accurate; magnitude: 1.3% more accurate; 9 ms faster). Category-level learning was also evident in a subsequent color association report task with novel double-digit numbers (parity: 63% accuracy; magnitude: 55%). In control, item-level experiments, in which high-probability pairings were not categorically consistent (e.g., 2,3,6, and 7 appeared in blue with a high probability, p = .9), no significant differences between high- vs. low-probability trials were present. These results are in line with associative learning occurring at the category level, and, further, suggest automatic semantic processing of symbolic numerals in terms of parity and magnitude.
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spelling doaj-art-b689e0584fe844f585420eb64ac6c1212025-02-11T05:36:32ZengUbiquity PressJournal of Cognition2514-48202025-01-0181212110.5334/joc.428427Implicit Learning of Parity and Magnitude Associations with Number ColorTalia L. Retter0https://orcid.org/0000-0001-6143-0811Christine Schiltz1https://orcid.org/0000-0002-1055-3878Institute of Cognitive Science and Assessment, Department of Behavioral and Cognitive Science, University of Luxembourg, Esch-sur-Alzette, LU; Université de Lorraine, CNRS, IMoPA, F-54000 NancyInstitute of Cognitive Science and Assessment, Department of Behavioral and Cognitive Science, University of Luxembourg, Esch-sur-AlzetteAssociative learning can occur implicitly for stimuli that occur together probabilistically. It is debated whether probabilistic, implicit learning occurs not only at the item level, but also at the category level. Here, we investigated whether associative learning would occur between color and numerical categories, while participants performed a color task. In category-level experiments for each parity and magnitude, high-probability pairings of four numbers with one color were categorically consistent (e.g., the Arabic numerals 2,4,6, and 8 appeared in blue with a high probability, p = .9). Associative learning was measured as higher performance for high-probability vs. low-probability color/number pairings. For both parity and magnitude, performance was significantly better for high- vs. low-probability trials (parity: 3.1% more accurate; magnitude: 1.3% more accurate; 9 ms faster). Category-level learning was also evident in a subsequent color association report task with novel double-digit numbers (parity: 63% accuracy; magnitude: 55%). In control, item-level experiments, in which high-probability pairings were not categorically consistent (e.g., 2,3,6, and 7 appeared in blue with a high probability, p = .9), no significant differences between high- vs. low-probability trials were present. These results are in line with associative learning occurring at the category level, and, further, suggest automatic semantic processing of symbolic numerals in terms of parity and magnitude.https://account.journalofcognition.org/index.php/up-j-jc/article/view/428categorizationimplicit learningnumerical cognitionresponse accuracyresponse timevisual perception
spellingShingle Talia L. Retter
Christine Schiltz
Implicit Learning of Parity and Magnitude Associations with Number Color
Journal of Cognition
categorization
implicit learning
numerical cognition
response accuracy
response time
visual perception
title Implicit Learning of Parity and Magnitude Associations with Number Color
title_full Implicit Learning of Parity and Magnitude Associations with Number Color
title_fullStr Implicit Learning of Parity and Magnitude Associations with Number Color
title_full_unstemmed Implicit Learning of Parity and Magnitude Associations with Number Color
title_short Implicit Learning of Parity and Magnitude Associations with Number Color
title_sort implicit learning of parity and magnitude associations with number color
topic categorization
implicit learning
numerical cognition
response accuracy
response time
visual perception
url https://account.journalofcognition.org/index.php/up-j-jc/article/view/428
work_keys_str_mv AT talialretter implicitlearningofparityandmagnitudeassociationswithnumbercolor
AT christineschiltz implicitlearningofparityandmagnitudeassociationswithnumbercolor