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Cooperative Categorization: Coordination of Reference and Categories in Learning a Joint Prediction Task

Voiklis, John and Corter, James (2008) Cooperative Categorization: Coordination of Reference and Categories in Learning a Joint Prediction Task. [Conference Poster]

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Abstract

We investigated the interaction of structure and convention in the emergence of schemes for joint reference in the context of indirect category learning. Participants worked individually or in dyads to learn a set of functionally-defined categories, instantiated as supposed alien creatures. The perceptual structure of these categories was complex: one function could be predicted by a unidimensional rule but the other was defined by a family-resemblance substructure. In addition to the main function-prediction task, each learner worked individually to sort the exemplars (pre- and post-function prediction) and in an individual prediction test that yielded selective attention data. Dyadic learners predicted the functional features with significantly greater accuracy compared to individual learners. This dyadic advantage was even greater for predicting the simple rule-based function compared to the FR function. Also, the post-task sorts produced by dyadic learners correlated more closely to the true categories than did those of individual learners.

Item Type:Conference Poster
Keywords:communication language-games categorization decision-making coordination joint-action
Subjects:Psychology > Social Psychology
Psychology > Cognitive Psychology
Psychology > Psycholinguistics
Psychology > Behavioral Analysis
ID Code:6288
Deposited By: Voiklis, John
Deposited On:04 Dec 2008 17:28
Last Modified:11 Mar 2011 08:57

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