Task-General Object Similarity Processes

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Jenkins, Gavin W., Samuelson, Larissa K. ORCID: https://orcid.org/0000-0002-9141-3286 and Spencer, John P. ORCID: https://orcid.org/0000-0002-7320-144X (2015) Task-General Object Similarity Processes. In: Proceedings of the 37th Annual Meeting of the Cognitive Science Society, CogSci 2015. Proceedings of the 37th Annual Meeting of the Cognitive Science Society, CogSci 2015 . The Cognitive Science Society, USA, pp. 980-985. ISBN 9780991196722

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Abstract

The similarity between objects is judged in a wide variety of contexts from visual search to categorization to face recognition. There is a correspondingly rich history of similarity research and many known behavioral trends and models of similarity. Nevertheless, most similarity behaviors have been identified and tested only in a comparatively narrow set of unique contexts. This leaves open the question of the extent to which similarity judgments rely on common processes or resources and the specific nature of those processes if so. We tested three diverse yet well-established measures of object similarity using identical, psychometrically controlled stimuli and identical analyses across tasks. We found several consistent behavioral effects across tasks that provide clues as to the nature of task-general similarity processes and serve as diagnostic targets for computational models of similarity.

Item Type: Book Section
Additional Information: Funding Information: This research was supported in part by award number R01HD045713 from the Eunice Kennedy Shriver NICHD but does not necessarily represent the views of the NIH. Publisher Copyright: © Cognitive Science Society, CogSci 2015.All rights reserved.
Uncontrolled Keywords: concepts and categories,decision making,psychology,similarity,vision,artificial intelligence,computer science applications,human-computer interaction,cognitive neuroscience ,/dk/atira/pure/subjectarea/asjc/1700/1702
Faculty \ School: Faculty of Social Sciences > School of Psychology
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Depositing User: LivePure Connector
Date Deposited: 25 Jan 2023 09:30
Last Modified: 25 Jan 2023 09:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/90783
DOI:

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