Literature DB >> 26491834

Fast automated counting procedures in addition problem solving: When are they used and why are they mistaken for retrieval?

Kim Uittenhove1, Catherine Thevenot1, Pierre Barrouillet2.   

Abstract

Contrary to a widespread assumption, a recent study suggested that adults do not solve very small additions by directly retrieving their answer from memory, but rely instead on highly automated and fast counting procedures (Barrouillet & Thevenot, 2013). The aim of the present study was to test the hypothesis that these automated compiled procedures are restricted to small quantities that do not exceed the size of the focus of attention (i.e., 4 elements). For this purpose, we analyzed the response times of ninety adult participants when solving the 81 additions with operands from 1 to 9. Even when focusing on small problems (i.e. with sums ⩽10) reported by participants as being solved by direct retrieval, chronometric analyses revealed a strong size effect. Response times increased linearly with the magnitude of the operands testifying for the involvement of a sequential multistep procedure. However, this size effect was restricted to the problems involving operands from 1 to 4, whereas the pattern of response times for other small problems was compatible with a retrieval hypothesis. These findings suggest that very fast responses routinely interpreted as reflecting direct retrieval of the answer from memory actually subsume compiled automated procedures that are faster than retrieval and deliver their answer while the subject remains unaware of their process, mistaking them for direct retrieval from long-term memory.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Arithmetic; Association; Numerical cognition; Problem solving; Retrieval

Mesh:

Year:  2015        PMID: 26491834     DOI: 10.1016/j.cognition.2015.10.008

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  9 in total

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Authors:  Yalin Chen; Jamie I D Campbell
Journal:  Psychon Bull Rev       Date:  2018-04

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Authors:  Pedro Pinheiro-Chagas; Amy Daitch; Josef Parvizi; Stanislas Dehaene
Journal:  J Cogn Neurosci       Date:  2018-07-31       Impact factor: 3.225

3.  Transfer of training in alphabet arithmetic.

Authors:  Jamie I D Campbell; Yalin Chen; Kurtis Allen; Leah Beech
Journal:  Mem Cognit       Date:  2016-11

4.  A commentary on Chen and Campbell (2017): Is there a clear case for addition fact recall?

Authors:  Arthur J Baroody
Journal:  Psychon Bull Rev       Date:  2018-12

5.  Decoding the processing stages of mental arithmetic with magnetoencephalography.

Authors:  Pedro Pinheiro-Chagas; Manuela Piazza; Stanislas Dehaene
Journal:  Cortex       Date:  2018-07-31       Impact factor: 4.027

6.  Automatization through Practice: The Opportunistic-Stopping Phenomenon Called into Question.

Authors:  Jasinta D M Dewi; Jeanne Bagnoud; Catherine Thevenot
Journal:  Cogn Sci       Date:  2021-12

7.  An Extension of the Procedural Deficit Hypothesis from Developmental Language Disorders to Mathematical Disability.

Authors:  Tanya M Evans; Michael T Ullman
Journal:  Front Psychol       Date:  2016-09-15

8.  Early Engagement of Parietal Cortex for Subtraction Solving Predicts Longitudinal Gains in Behavioral Fluency in Children.

Authors:  Macarena Suárez-Pellicioni; Ilaria Berteletti; James R Booth
Journal:  Front Hum Neurosci       Date:  2020-05-26       Impact factor: 3.169

9.  Are small additions solved by direct retrieval from memory or automated counting procedures? A rejoinder to Chen and Campbell (2018).

Authors:  Catherine Thevenot; Pierre Barrouillet
Journal:  Psychon Bull Rev       Date:  2020-09-23
  9 in total

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