The Nature Of Affect In The Structural Mere Exposure Effect

Ivan Ivanchei () and Alexey Asvarisch ()
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Ivan Ivanchei: Russian Academy of National Economy and Public Administrations
Alexey Asvarisch: National Research University Higher School of Economics

HSE Working papers from National Research University Higher School of Economics

Abstract: This paper investigates the characteristics of the affective component in the structural mere exposure effect (SMEE). Two approaches are considered – fluency attribution approach (FA) and affect as predictive efficiency approach (APE) – within a predictive coding framework. Using the artificial grammar learning and affective priming paradigms, we demonstrate that a violation of implicitly learned regularities elicits an automatic negative affective response. This result suggests that SMEE can be observed without any overtly evaluative judgment. Participants’ decisions on the grammaticality of stimuli did not change this pattern. We conclude that SMEE is based on the affective response to prediction errors made by the cognitive system and may include the fluency attribution process in the later stages of processing.

JEL-codes: Z (search for similar items in EconPapers)
Pages: 23 pages
Date: 2018
New Economics Papers: this item is included in nep-cbe
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Published in WP BRP Series: Science, Psychology / PSY, October 2018, pages 1-23

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Persistent link: https://EconPapers.repec.org/RePEc:hig:wpaper:99psy2018

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