Learned categorical perception for natural faces

dc.contributor.authorNavarro, D.
dc.contributor.authorLee, M.
dc.contributor.authorNikkerud, H.
dc.contributor.conferenceCognitive Science Society. Annual Conference (27th : 2005 : Stresa, Italy)
dc.contributor.editorBara, B.
dc.contributor.editorBarsalou, L.
dc.contributor.editorBucciarelli, M.
dc.date.issued2005
dc.description.abstractWe present an experiment involving learned categorical perception for natural faces, using four different category learning tasks. In the four tasks, participants learned to classify faces divided on the basis of gender, hair color, a subjective determined level of ‘trust’, or at random. After category learning, participants rated the similarity of each pair of faces, and their judgments were compared to a previously collected ‘base rate’ set of similarities for the same stimuli. Evidence for learned categorical perception was then sought, in the form of increased differences between intra-category and inter-category similarities. Over the four conditions, we observed no learned categorical perception when categories were based on obvious properties (gender and hair color), nor when the category structure was intentionally random. However, when the loosely defined category structure of trust was employed, a learned categorical perception effect emerged.
dc.description.statementofresponsibilityDaniel J. Navarro, Michael D. Lee, Hannah Nikkerud
dc.identifier.citationXXVII Annual Conference of the Cognitive Science Society / Cognitive Science Society (ed.): pp.1600-1605
dc.identifier.isbn0976831813
dc.identifier.orcidNavarro, D. [0000-0001-7648-6578]
dc.identifier.urihttp://hdl.handle.net/2440/28884
dc.language.isoen
dc.publisherLawrence Erlbaum Associates, Inc.
dc.publisher.placeNew Jersey, USA
dc.rights© the authors
dc.titleLearned categorical perception for natural faces
dc.typeConference paper
pubs.publication-statusPublished

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
hdl_28884.pdf
Size:
464.5 KB
Format:
Adobe Portable Document Format
Description:
Published version