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http://hdl.handle.net/1893/846
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Little, Anthony | en_UK |
dc.contributor.author | Perrett, David I | en_UK |
dc.date.accessioned | 2013-12-20T11:51:16Z | - |
dc.date.available | 2013-12-20T11:51:16Z | - |
dc.date.issued | 2007-02 | en_UK |
dc.identifier.uri | http://hdl.handle.net/1893/846 | - |
dc.description.abstract | Several studies have demonstrated some accuracy in personality attribution using only visual appearance. Using composite images of those scoring high and low on a particular trait, the current study shows that judges perform better than chance in guessing others’ personality, particularly for the traits conscientiousness and extraversion. This study also shows that attractiveness, masculinity, and age may all provide cues to accurately assess personality and that accuracy is affected by the sex of both of those judging and being judged. Individuals do perform better than chance at guessing another’s personality from only facial information, providing some support for the popular belief that it is possible to accurately assess personality from faces. However, this accuracy is somewhat limited. | en_UK |
dc.language.iso | en | en_UK |
dc.publisher | British Psychological Society | en_UK |
dc.relation | Little A & Perrett DI (2007) Using composite images to assess accuracy in personality attribution to faces. British Journal of Psychology, 98 (1), pp. 111-126. https://doi.org/10.1348/000712606X109648 | en_UK |
dc.rights | This is the peer reviewed version of the following article: Little, A. C. and Perrett, D. I. (2007), Using composite images to assess accuracy in personality attribution to faces. British Journal of Psychology, 98: 111-126, which has been published in final form at https://doi.org/10.1348/000712606X109648. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving. | en_UK |
dc.subject | Faces | en_UK |
dc.subject | Accuracy | en_UK |
dc.subject | Attribution | en_UK |
dc.subject | Personality | en_UK |
dc.subject | Face Social aspects | en_UK |
dc.subject | Physiognomy | en_UK |
dc.subject | Visual perception | en_UK |
dc.subject | Personality | en_UK |
dc.title | Using composite images to assess accuracy in personality attribution to faces | en_UK |
dc.type | Journal Article | en_UK |
dc.identifier.doi | 10.1348/000712606X109648 | en_UK |
dc.citation.jtitle | British Journal of Psychology | en_UK |
dc.citation.issn | 2044-8295 | en_UK |
dc.citation.issn | 0007-1269 | en_UK |
dc.citation.volume | 98 | en_UK |
dc.citation.issue | 1 | en_UK |
dc.citation.spage | 111 | en_UK |
dc.citation.epage | 126 | en_UK |
dc.citation.publicationstatus | Published | en_UK |
dc.citation.peerreviewed | Refereed | en_UK |
dc.type.status | AM - Accepted Manuscript | en_UK |
dc.author.email | anthony.little@stir.ac.uk | en_UK |
dc.citation.date | 24/12/2010 | en_UK |
dc.contributor.affiliation | Psychology | en_UK |
dc.contributor.affiliation | University of St Andrews | en_UK |
dc.identifier.isi | WOS:000244178500008 | en_UK |
dc.identifier.scopusid | 2-s2.0-33846947928 | en_UK |
dc.identifier.wtid | 808993 | en_UK |
dcterms.dateAccepted | 2010-12-24 | en_UK |
dc.date.filedepositdate | 2009-02-24 | en_UK |
rioxxterms.type | Journal Article/Review | en_UK |
rioxxterms.version | AM | en_UK |
local.rioxx.author | Little, Anthony| | en_UK |
local.rioxx.author | Perrett, David I| | en_UK |
local.rioxx.project | Internal Project|University of Stirling|https://isni.org/isni/0000000122484331 | en_UK |
local.rioxx.freetoreaddate | 2009-02-24 | en_UK |
local.rioxx.licence | http://www.rioxx.net/licenses/all-rights-reserved|2009-02-24| | en_UK |
local.rioxx.filename | Little_Self_Personality_Composites_revise_final_corrections.pdf | en_UK |
local.rioxx.filecount | 1 | en_UK |
local.rioxx.source | 0007-1269 | en_UK |
Appears in Collections: | Psychology Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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Little_Self_Personality_Composites_revise_final_corrections.pdf | Fulltext - Accepted Version | 221.83 kB | Adobe PDF | View/Open |
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