Modeling Underlying Mechanisms of the Implicit Association Test

Boon Kiat Quek, Andrew Ortony

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

The Implicit Association Test (IAT) is designed to measure implicit attitudes, and is often claimed to reveal prejudicial attitudes that are at odds with explicit attitudes. Numerous proposals as to the information processing mechanisms underlying human performance on the IAT have been suggested, many or all of which may well play a role. This makes it difficult to study them and their interactions experimentally in an efficient manner. We describe a localist connectionist model that simulates human performance on the IAT and that allows us to explore many of the proposed explanations, by comparing the results with observations from actual experiments with human subjects. By simulating the performance of virtual subjects, the model also makes it possible to conduct “theoretical” experiments that could not be undertaken with real subjects in the real world.

Original languageEnglish (US)
Title of host publicationExpanding the Space of Cognitive Science - Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, CogSci 2011
EditorsLaura Carlson, Christoph Hoelscher, Thomas F. Shipley
PublisherThe Cognitive Science Society
Pages1330-1335
Number of pages6
ISBN (Electronic)9780976831877
StatePublished - 2011
Event33rd Annual Meeting of the Cognitive Science Society: Expanding the Space of Cognitive Science, CogSci 2011 - Boston, United States
Duration: Jul 20 2011Jul 23 2011

Publication series

NameExpanding the Space of Cognitive Science - Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, CogSci 2011

Conference

Conference33rd Annual Meeting of the Cognitive Science Society: Expanding the Space of Cognitive Science, CogSci 2011
Country/TerritoryUnited States
CityBoston
Period7/20/117/23/11

Keywords

  • Associations
  • attitudes
  • localist connectionist networks
  • simulation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

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