Boon-Kiat Quek

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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(More)
Using a previously proposed computational model of human performance on the Implicit Associations Test (IAT), we explore how evaluative conditioning could inform attitude acquisition and formation of automatic associations in memory, and demonstrate the effects of such learning on implicit task performance on the test. This is achieved by augmenting the(More)
Studies reveal that the processing of implicit attitudes could be affected by individual differences in cognitive fluency, as well as by the presence of stereotype threat induced when subjects were primed with negative prejudices about their own social group. Using a previously proposed computational model of human performance on the Implicit Association(More)
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