Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/31950
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dc.contributor.authorAlharbi, Sarah A Hen_UK
dc.contributor.authorButton, Katherineen_UK
dc.contributor.authorZhang, Lingshanen_UK
dc.contributor.authorO'Shea, Kieran Jen_UK
dc.contributor.authorFasolt, Vanessaen_UK
dc.contributor.authorLee, Anthony Jen_UK
dc.contributor.authorDeBruine, Lisa Men_UK
dc.contributor.authorJones, Benedict Cen_UK
dc.date.accessioned2020-11-14T01:03:25Z-
dc.date.available2020-11-14T01:03:25Z-
dc.date.issued2020-09en_UK
dc.identifier.other190699en_UK
dc.identifier.urihttp://hdl.handle.net/1893/31950-
dc.description.abstractEvidence that affective factors (e.g. anxiety, depression, affect) are significantly related to individual differences in emotion recognition is mixed. Palermo et al. (Palermo et al. 2018 J. Exp. Psychol. Hum. Percept. Perform.44, 503–517) reported that individuals who scored lower in anxiety performed significantly better on two measures of facial-expression recognition (emotion-matching and emotion-labelling tasks), but not a third measure (the multimodal emotion recognition test). By contrast, facial-expression recognition was not significantly correlated with measures of depression, positive or negative affect, empathy, or autistic-like traits. Because the range of affective factors considered in this study and its use of multiple expression-recognition tasks mean that it is a relatively comprehensive investigation of the role of affective factors in facial expression recognition, we carried out a direct replication. In common with Palermo et al. (Palermo et al. 2018 J. Exp. Psychol. Hum. Percept. Perform.44, 503–517), scores on the DASS anxiety subscale negatively predicted performance on the emotion recognition tasks across multiple analyses, although these correlations were only consistently significant for performance on the emotion-labelling task. However, and by contrast with Palermo et al. (Palermo et al. 2018 J. Exp. Psychol. Hum. Percept. Perform.44, 503–517), other affective factors (e.g. those related to empathy) often also significantly predicted emotion-recognition performance. Collectively, these results support the proposal that affective factors predict individual differences in emotion recognition, but that these correlations are not necessarily specific to measures of general anxiety, such as the DASS anxiety subscale.en_UK
dc.language.isoenen_UK
dc.publisherRoyal Society, Theen_UK
dc.relationAlharbi SAH, Button K, Zhang L, O'Shea KJ, Fasolt V, Lee AJ, DeBruine LM & Jones BC (2020) Are affective factors related to individual differences in facial expression recognition?: Affective factors and facial expressions. Royal Society Open Science, 7 (9), Art. No.: 190699. https://doi.org/10.1098/rsos.190699en_UK
dc.rights© 2020 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectface processingen_UK
dc.subjectindividual differencesen_UK
dc.subjectemotional expressionen_UK
dc.titleAre affective factors related to individual differences in facial expression recognition?: Affective factors and facial expressionsen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1098/rsos.190699en_UK
dc.identifier.pmid33047005en_UK
dc.citation.jtitleRoyal Society Open Scienceen_UK
dc.citation.issn2054-5703en_UK
dc.citation.volume7en_UK
dc.citation.issue9en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.citation.date09/09/2020en_UK
dc.contributor.affiliationUniversity of Glasgowen_UK
dc.contributor.affiliationUniversity of Bathen_UK
dc.contributor.affiliationUniversity of Glasgowen_UK
dc.contributor.affiliationUniversity of Glasgowen_UK
dc.contributor.affiliationUniversity of Glasgowen_UK
dc.contributor.affiliationPsychologyen_UK
dc.contributor.affiliationUniversity of Glasgowen_UK
dc.contributor.affiliationUniversity of Strathclydeen_UK
dc.identifier.isiWOS:000572429700001en_UK
dc.identifier.scopusid2-s2.0-85093514608en_UK
dc.identifier.wtid1680936en_UK
dc.contributor.orcid0000-0001-8288-3393en_UK
dc.date.accepted2020-07-22en_UK
dcterms.dateAccepted2020-07-22en_UK
dc.date.filedepositdate2020-11-13en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorAlharbi, Sarah A H|en_UK
local.rioxx.authorButton, Katherine|en_UK
local.rioxx.authorZhang, Lingshan|en_UK
local.rioxx.authorO'Shea, Kieran J|en_UK
local.rioxx.authorFasolt, Vanessa|en_UK
local.rioxx.authorLee, Anthony J|0000-0001-8288-3393en_UK
local.rioxx.authorDeBruine, Lisa M|en_UK
local.rioxx.authorJones, Benedict C|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2020-11-13en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2020-11-13|en_UK
local.rioxx.filenamersos.190699.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2054-5703en_UK
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