Show simple item record

dc.contributor.authorForsythe, Alex
dc.contributor.authorStreet, Nichola
dc.contributor.authorHelmy, Mai
dc.date.accessioned2019-05-15T10:58:11Z
dc.date.available2019-05-15T10:58:11Z
dc.date.issued2016-10-03
dc.identifier.citationForsythe, A. M., Street, N. and Helmy, M. (2016) Revisiting Rossion & Pourtois with new ratings for automated complexity, familiarity, beauty and encounter. Behavior Research Methods, 49(4), pp. 1484-1493.en
dc.identifier.issn1554-351Xen
dc.identifier.doi10.3758/s13428-016-0808-zen
dc.identifier.urihttp://hdl.handle.net/2436/622355
dc.description.abstractDifferences between norm ratings collected when participants are asked to consider more than one picture characteristic are contrasted with the traditional methodological approaches of collecting ratings separately for image constructs. We present data that suggest that reporting normative data, based on methodological procedures that ask participants to consider multiple image constructs simultaneously, could potentially confounded norm data. We provide data for two new image constructs, beauty and the extent to which participants encountered the stimuli in their everyday lives. Analysis of this data suggests that familiarity and encounter are tapping different image constructs. The extent to which an observer encounters an object predicts human judgments of visual complexity. Encountering an image was also found to be an important predictor of beauty, but familiarity with that image was not. Taken together, these results suggest that continuing to collect complexity measures from human judgments is a pointless exercise. Automated measures are more reliable and valid measures, which are demonstrated here as predicting human preferences.en
dc.formatapplication/PDFen
dc.languageen
dc.publisherSpringer Natureen
dc.relation.urlhttps://link.springer.com/article/10.3758%2Fs13428-016-0808-zen
dc.subjectnormsen
dc.subjectcomplexityen
dc.subjectfamiliarityen
dc.subjectpicturesen
dc.titleRevisiting Rossion and Pourtois with new ratings for automated complexity, familiarity, beauty, and encounteren
dc.typeJournal articleen
dc.identifier.journalBehavior Research Methodsen
dc.date.updated2019-05-10T09:07:39Z
dc.date.accepted2016-10-03
rioxxterms.funderUniversity of Wolverhamptonen
rioxxterms.identifier.projectUOW150519AFen
rioxxterms.versionAMen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0/en
rioxxterms.licenseref.startdate2019-05-15en
dc.source.volume49
dc.source.issue4
dc.source.beginpage1484
dc.source.endpage1493
dc.description.versionPublished version
refterms.dateFCD2019-05-15T10:57:28Z
refterms.versionFCDAM
refterms.dateFOA2019-05-15T10:58:12Z


Files in this item

Thumbnail
Name:
Final BRM.pdf
Size:
864.9Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record