One of these greebles is not like the others: Semi-supervised models for similarity structures

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dc.contributor.authorStephens, R.
dc.contributor.authorNavarro, D.
dc.contributor.conferenceAnnual Meeting of the Cognitive Science Society (30th : 2008 : Washington DC)
dc.date.issued2008
dc.description.abstractWhen studying human concepts, artificial categories are often used that are very simple, with a chosen set of discrete features. Images such as “greebles”, animal-like three-dimensional figures, are a more realistic and interesting alternative artificial stimulus set for categorization experiments. However, especially for more complex stimuli, it is not obvious that participants’ perceived similarity structure will be as simple as the structure used to construct the stimuli. Therefore, it is safest to first empirically obtain a measure of the stimuli’s structure. We demonstrate the use of an odd one out task in order to model people’s mental representations of a set of greebles, an example set of moderately complex stimuli. We show that, although the greebles were constructed such that they can be classified into two sets of categories, these categories have a considerable amount of additional latent structure that can be extracted by similarity modeling.
dc.description.statementofresponsibilityRachel G. Stephens and Daniel J. Navarro
dc.identifier.citationProceedings of the 30th Annual meeting of the Cognitive Science Society, 23-26 July, 2008: pp.1996-2001
dc.identifier.isbn9780976831846
dc.identifier.orcidStephens, R. [0000-0002-2772-5728]
dc.identifier.orcidNavarro, D. [0000-0001-7648-6578]
dc.identifier.urihttp://hdl.handle.net/2440/54275
dc.language.isoen
dc.publisherCognitive Science Society
dc.publisher.placeUSA
dc.rights© the authors
dc.subjectgreebles
dc.subjectsimilarity
dc.subjectcategorization
dc.titleOne of these greebles is not like the others: Semi-supervised models for similarity structures
dc.typeConference paper
pubs.publication-statusPublished

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