Verbal interference suppresses exact numerical representation

Language for number is an important case study of the relationship between language and cognition because the mechanisms of non-verbal numerical cognition are well-understood. When the Pirahã (an Amazonian hunter-gatherer tribe who have no exact number words) are tested in non-verbal numerical tasks...

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Main Authors: Frank, Michael C., Fedorenko, Evelina, Lai, Peter, Saxe, Rebecca R., Gibson, Edward A.
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Language:en_US
Published: Elsevier 2016
Online Access:http://hdl.handle.net/1721.1/102467
https://orcid.org/0000-0003-2377-1791
https://orcid.org/0000-0003-3823-514X
https://orcid.org/0000-0002-5912-883X
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author Frank, Michael C.
Fedorenko, Evelina
Lai, Peter
Saxe, Rebecca R.
Gibson, Edward A.
author2 Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
author_facet Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Frank, Michael C.
Fedorenko, Evelina
Lai, Peter
Saxe, Rebecca R.
Gibson, Edward A.
author_sort Frank, Michael C.
collection MIT
description Language for number is an important case study of the relationship between language and cognition because the mechanisms of non-verbal numerical cognition are well-understood. When the Pirahã (an Amazonian hunter-gatherer tribe who have no exact number words) are tested in non-verbal numerical tasks, they are able to perform one-to-one matching tasks but make errors in more difficult tasks. Their pattern of errors suggests that they are using analog magnitude estimation, an evolutionarily- and developmentally-conserved mechanism for estimating quantities. Here we show that English-speaking participants rely on the same mechanisms when verbal number representations are unavailable due to verbal interference. Followup experiments demonstrate that the effects of verbal interference are primarily manifest during encoding of quantity information, and—using a new procedure for matching difficulty of interference tasks for individual participants—that the effects are restricted to verbal interference. These results are consistent with the hypothesis that number words are used online to encode, store, and manipulate numerical information. This linguistic strategy complements, rather than altering or replacing, non-verbal representations.
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spelling mit-1721.1/1024672022-09-30T07:46:59Z Verbal interference suppresses exact numerical representation Frank, Michael C. Fedorenko, Evelina Lai, Peter Saxe, Rebecca R. Gibson, Edward A. Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Gibson, Edward A. Fedorenko, Evelina Lai, Peter Saxe, Rebecca R. Gibson, Edward A. Language for number is an important case study of the relationship between language and cognition because the mechanisms of non-verbal numerical cognition are well-understood. When the Pirahã (an Amazonian hunter-gatherer tribe who have no exact number words) are tested in non-verbal numerical tasks, they are able to perform one-to-one matching tasks but make errors in more difficult tasks. Their pattern of errors suggests that they are using analog magnitude estimation, an evolutionarily- and developmentally-conserved mechanism for estimating quantities. Here we show that English-speaking participants rely on the same mechanisms when verbal number representations are unavailable due to verbal interference. Followup experiments demonstrate that the effects of verbal interference are primarily manifest during encoding of quantity information, and—using a new procedure for matching difficulty of interference tasks for individual participants—that the effects are restricted to verbal interference. These results are consistent with the hypothesis that number words are used online to encode, store, and manipulate numerical information. This linguistic strategy complements, rather than altering or replacing, non-verbal representations. 2016-05-12T14:37:50Z 2016-05-12T14:37:50Z 2011-11 Article http://purl.org/eprint/type/JournalArticle 00100285 1095-5623 http://hdl.handle.net/1721.1/102467 Frank, Michael C., Evelina Fedorenko, Peter Lai, Rebecca Saxe, and Edward Gibson. “Verbal Interference Suppresses Exact Numerical Representation.” Cognitive Psychology 64, no. 1–2 (February 2012): 74–92. https://orcid.org/0000-0003-2377-1791 https://orcid.org/0000-0003-3823-514X https://orcid.org/0000-0002-5912-883X en_US http://dx.doi.org/10.1016/j.cogpsych.2011.10.004 Cognitive Psychology Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier Prof. Gibson
spellingShingle Frank, Michael C.
Fedorenko, Evelina
Lai, Peter
Saxe, Rebecca R.
Gibson, Edward A.
Verbal interference suppresses exact numerical representation
title Verbal interference suppresses exact numerical representation
title_full Verbal interference suppresses exact numerical representation
title_fullStr Verbal interference suppresses exact numerical representation
title_full_unstemmed Verbal interference suppresses exact numerical representation
title_short Verbal interference suppresses exact numerical representation
title_sort verbal interference suppresses exact numerical representation
url http://hdl.handle.net/1721.1/102467
https://orcid.org/0000-0003-2377-1791
https://orcid.org/0000-0003-3823-514X
https://orcid.org/0000-0002-5912-883X
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