Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/28952
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dc.contributor.authorMüller, TF-
dc.contributor.authorWinters, J-
dc.contributor.authorMorisseau, T-
dc.contributor.authorNoveck, I-
dc.contributor.authorMorin, O-
dc.date.accessioned2024-05-08T08:21:00Z-
dc.date.available2024-05-08T08:21:00Z-
dc.date.issued2021-03-12-
dc.identifierORCiD: Thomas F. Müller http://orcid.org/0000-0002-8663-1035-
dc.identifierORCiD: James Winters https://orcid.org/0000-0003-2982-2991-
dc.identifier.citationMüller, T.F. et al. (2021) 'Colour terms: native language semantic structure and artificial language structure formation in a large-scale online smartphone application', Journal of Cognitive Psychology, 33 (4), pp. 357 - 378. doi: 10.1080/20445911.2021.1900199.en_US
dc.identifier.issn2044-5911-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/28952-
dc.descriptionData availability statement: The data that support the findings of this study are openly available in the Open Science Framework at https://doi.org/10.17605/OSF.IO/A8BGE.en_US
dc.description.abstractArtificial language games give researchers the opportunity to investigate the emergence and evolution of semantic structure, i.e. the organisation of meaning spaces into discrete categories. A possible issue with this approach is that categories mightcarry over from participants’ native languages, a potential bias that has mostly been ignored. In a referential communication game, we compare colour terms from three different languages to those of an artificial language. We assess the similarity of the semantic structures and test the influence of the semantic structure on artificial language communication by comparing to a separate online naming task providing us with the native language semantic structure. Our results show that native and artificial language structures overlap at least moderately. Furthermore, communicative behaviour and performance were influenced by the shared semantic structure, but only for English-speaking pairs. These results imply a cognitive link between participants’ semantic structures and artificial language structure formation.en_US
dc.format.extent357 - 378-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherRoutledge (Taylor and Francis Group)en_US
dc.relation.urihttps://doi.org/10.17605/OSF.IO/A8BGE-
dc.rightsCopyright © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectsemantic structureen_US
dc.subjectartificial languageen_US
dc.subjectlanguage evolutionen_US
dc.subjectsmartphone applicationen_US
dc.subjectcolour termsen_US
dc.subjectcategorical facilitationen_US
dc.titleColour terms: native language semantic structure and artificial language structure formation in a large-scale online smartphone applicationen_US
dc.typeArticleen_US
dc.date.dateAccepted2021-03-03-
dc.identifier.doihttps://doi.org/10.1080/20445911.2021.1900199-
dc.relation.isPartOfJournal of Cognitive Psychology-
pubs.issue4-
pubs.publication-statusPublished-
pubs.volume33-
dc.identifier.eissn2044-592X-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dc.rights.holderThe Author(s)-
Appears in Collections:Dept of Life Sciences Research Papers

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