Assessing Mechanisms Behind Crossmodal Associations between Visual Textures and Temperature Concepts

Francisco Barbosa Escobar*, Carlos Velasco, Derek V. Byrne, Qian Janice Wang

*Corresponding author for this work

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Abstract

In the last decades, there has been a growing interest in crossmodal correspondences, including those involving temperature. However, only a few studies have explicitly examined the underlying mechanisms behind temperature-related correspondences. Here, we investigated the relative roles of an underlying affective mechanism and a semantic path (i.e., regarding the semantic knowledge related to a single common source identity or meaning) in crossmodal associations between visual textures and temperature concepts using an associative learning paradigm. Two online experiments using visual textures previously shown to be associated with low and high thermal effusivity (Experiment 1) and visual textures with no consensual associations with thermal effusivity (Experiment 2) were conducted. Participants completed a speeded categorization task before and after an associative learning task, in which they learned mappings between the visual textures and specific affective or semantic stimuli related to low and high temperatures. Across the two experiments, both the affective and semantic mappings influenced the categorization of visual textures with the hypothesized temperatures, but there was no influence on the reaction times. The effect of learning semantic mappings was larger than that of affective ones in both experiments, suggesting that a semantic path has more weight than an affective mechanism in the formation of the associations studied here. The associations studied here could be modified through associative learning establishing correlations between visual textures and either affective or semantic stimuli. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Original languageEnglish
JournalJournal of Experimental Psychology: Human Perception and Performance
Volume49
Issue6
Pages (from-to)923–947
Number of pages25
ISSN0096-1523
DOIs
Publication statusPublished - Jun 2023

Keywords

  • Crossmodal correspondences
  • Semantic congruence
  • Temperature
  • Visual textures
  • Affect
  • associative learning
  • Learning
  • Semantics
  • Humans
  • Reaction Time

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