Evidence map›Paper›PMID 31701377›Full record

ArticleCognitive processing2020

Embodied numerical representations and their association with multi-digit arithmetic performance.

Roberta Barrocas, Stephanie Roesch, Verena Dresen, Korbinian Moeller, Silvia Pixner

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Article in Cognitive processing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Roberta BarrocasLeibniz-Institut fuer Wissensmedien, Tübingen, Germany. r.barrocas@iwm-tuebingen.de.ORCID http://orcid.org/0000-0003-3613-023X
Stephanie RoeschLeibniz-Institut fuer Wissensmedien, Tübingen, Germany.
Verena DresenInstitute of Psychology, UMIT - Private University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
Korbinian MoellerLeibniz-Institut fuer Wissensmedien, Tübingen, Germany.
Silvia PixnerInstitute of Psychology, UMIT - Private University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.

Funding

Lebniz Wissenschaftscampus TP-11
6 · The paper itself

Abstract

There is a well-documented association between fingers and numbers, which was claimed to stem from the use of finger-based strategies for counting and calculating during childhood. Recently, it has been argued that this may lead to a concomitant activation of finger-based alongside other numerical representations when encountering single-digit numbers. Indeed, the occurrence of such a co-activation is supported by observed influences of finger counting habits on different numerical tasks, including single-digit arithmetic problem solving. In this study, we pursued the question whether the influence of finger-based representations on arithmetic generalizes to multi-digit arithmetic by investigating the association between the recognition of canonical and non-canonical finger patterns and multi-digit arithmetic in adults. Results indicated that canonical finger-based numerical representations were significantly associated with addition performance only, whereas non-canonical finger-based representations were associated significantly with all four arithmetic operations. We argue that, because non-canonical patterns do not benefit from the iconicity of canonical patterns, their magnitude may need to be constructed through magnitude manipulation which may in turn increase associations with mental arithmetic. In sum, our findings provide converging evidence for a functional association between finger-based representations and arithmetic performance.

Indexed as

MathematicsAdolescentAdultCognitionFemaleFingersHumansMaleMental RecallMiddle AgedProblem SolvingPsychomotor PerformanceReaction TimeRecognition, PsychologyYoung AdultArithmeticEmbodied cognitionEmbodied numerosityFinger counting

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.