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Eye-movements in implicit artificial grammar learning

2017-09Journal article Open Access
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dc.contributor.authorSilva, Susana
dc.contributor.authorInácio, Filomena
dc.contributor.authorFolia, Vasiliki
dc.contributor.authorPetersson, Karl Magnus
dc.date.accessioned2019-11-20T15:07:22Z
dc.date.available2019-11-20T15:07:22Z
dc.date.issued2017-09
dc.description.abstractArtificial grammar learning (AGL) has been probed with forced-choice behavioral tests (active tests). Recent attempts to probe the outcomes of learning (implicitly acquired knowledge) with eye-movement responses (passive tests) have shown null results. However, these latter studies have not tested for sensitivity effects, for example, increased eye movements on a printed violation. In this study, we tested for sensitivity effects in AGL tests with (Experiment 1) and without (Experiment 2) concurrent active tests (preference- and grammaticality classification) in an eye-tracking experiment. Eye movements discriminated between sequence types in passive tests and more so in active tests. The eye-movement profile did not differ between preference and grammaticality classification, and it resembled sensitivity effects commonly observed in natural syntax processing. Our findings show that the outcomes of implicit structured sequence learning can be characterized in eye tracking. More specifically, whole trial measures (dwell time, number of fixations) showed robust AGL effects, whereas first-pass measures (first-fixation duration) did not. Furthermore, our findings strengthen the link between artificial and natural syntax processing, and they shed light on the factors that determine performance differences in preference and grammaticality classification tests.
dc.description.sponsorshipMax Planck Institute for Psycholinguistics
dc.description.sponsorshipDonders Institute for Brain, Cognition and Behavior
dc.description.sponsorshipVetenskapsradet
dc.description.sponsorshipSwedish Dyslexia Foundation
dc.identifier.doihttps://doi.org/10.1037/xlm0000350
dc.identifier.issn0278-7393
dc.identifier.issn1939-1285
dc.identifier.urihttp://hdl.handle.net/10400.1/13006
dc.language.isoeng
dc.peerreviewedyes
dc.publisherAmerican Psychological Association
dc.subjectSyntactic structure
dc.subjectBrain potentials
dc.subjectMemory
dc.subjectLanguage
dc.subjectGrammaticality
dc.subjectMechanisms
dc.subjectContribute
dc.subjectMonkeys
dc.subjectSystems
dc.subjectMacaque
dc.subjectEye-tracking
dc.subjectImplicit learning
dc.subjectArtificial grammar learning
dc.subjectSyntactic processing
dc.subjectPreference classification
dc.titleEye-movements in implicit artificial grammar learning
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FPSI-PCO%2F110734%2F2009/PT
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oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PEst-OE%2FEQB%2FLA0023%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FPSI%2F00050%2F2013/PT
oaire.citation.endPage1402
oaire.citation.issue9
oaire.citation.startPage1387
oaire.citation.titleJournal of Experimental Psychology: Learning, Memory, and Cognition
oaire.citation.volume43
oaire.fundingStream3599-PPCDT
oaire.fundingStreamSFRH
oaire.fundingStream5876
oaire.fundingStream3599-PPCDT
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person.familyNameSilva
person.familyNameInácio
person.familyNamePetersson
person.givenNameSusana
person.givenNameFilomena
person.givenNameKarl Magnus
person.identifier287376
person.identifier1506096
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person.identifier.ciencia-idBB18-CDC1-228F
person.identifier.ciencia-idB211-E17C-4954
person.identifier.ciencia-id6D14-B1D1-1532
person.identifier.orcid0000-0003-2240-1828
person.identifier.orcid0000-0003-4387-0578
person.identifier.orcid0000-0002-8245-0392
person.identifier.ridA-4440-2013
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person.identifier.scopus-author-id58205577900
person.identifier.scopus-author-id37112275500
person.identifier.scopus-author-id7006470225
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project.funder.nameFundação para a Ciência e a Tecnologia
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project.funder.nameFundação para a Ciência e a Tecnologia
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rcaap.rightsopenAccess
rcaap.typearticle
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