Literature DB >> 35617541

Ready to Learn: Incidental Exposure Fosters Category Learning.

Layla Unger1, Vladimir M Sloutsky1.   

Abstract

Our knowledge of the world is populated with categories such as dogs, cups, and chairs. Such categories shape how we perceive, remember, and reason about their members. Much of our exposure to the entities we come to categorize occurs incidentally as we experience and interact with them in our everyday lives, with limited access to explicit teaching. This research investigated whether incidental exposure contributes to building category knowledge by rendering people "ready to learn"-allowing them to rapidly capitalize on brief access to explicit teaching. Across five experiments (N = 438 adults), we found that incidental exposure did produce a ready-to-learn effect, even when learners showed no evidence of robust category learning during exposure. Importantly, this readiness to learn occurred only when categories possessed a rich structure in which many features were correlated within categories. These findings offer a window into how our everyday experiences may contribute to building category knowledge.

Entities:  

Keywords:  category learning; category structure; incidental learning; open data; unsupervised category learning

Mesh:

Year:  2022        PMID: 35617541      PMCID: PMC9343890          DOI: 10.1177/09567976211061470

Source DB:  PubMed          Journal:  Psychol Sci        ISSN: 0956-7976


  35 in total

1.  Analyzing the factors underlying the structure and computation of the meaning of chipmunk, cherry, chisel, cheese, and cello (and many other such concrete nouns).

Authors:  George S Cree; Ken McRae
Journal:  J Exp Psychol Gen       Date:  2003-06

2.  ALCOVE: an exemplar-based connectionist model of category learning.

Authors:  J K Kruschke
Journal:  Psychol Rev       Date:  1992-01       Impact factor: 8.934

3.  Evidence of a transition from perceptual to category induction in 3- to 9-year-old children.

Authors:  Julia R Badger; Laura R Shapiro
Journal:  J Exp Child Psychol       Date:  2012-06-21

4.  When more is less: negative exposure effects in unsupervised learning.

Authors:  John P Clapper
Journal:  Mem Cognit       Date:  2006-06

5.  Semantic feature production norms for a large set of living and nonliving things.

Authors:  Ken McRae; George S Cree; Mark S Seidenberg; Chris McNorgan
Journal:  Behav Res Methods       Date:  2005-11

Review 6.  Animal memory and learning.

Authors:  N E Spear; J S Miller; J A Jagielo
Journal:  Annu Rev Psychol       Date:  1990       Impact factor: 24.137

7.  Finding categories through words: More nameable features improve category learning.

Authors:  Martin Zettersten; Gary Lupyan
Journal:  Cognition       Date:  2019-12-09

8.  From Perceptual Categories to Concepts: What Develops?

Authors:  Vladimir M Sloutsky
Journal:  Cogn Sci       Date:  2010-09-01

9.  Carrot eaters or moving heads: inductive inference is better supported by salient features than by category labels.

Authors:  Wei Deng; Vladimir M Sloutsky
Journal:  Psychol Sci       Date:  2012-01-06

10.  Gorilla in our midst: An online behavioral experiment builder.

Authors:  Alexander L Anwyl-Irvine; Jessica Massonnié; Adam Flitton; Natasha Kirkham; Jo K Evershed
Journal:  Behav Res Methods       Date:  2020-02
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