Evidence map›Paper›PMID 35903735›Full record

ArticleFrontiers in psychology2022

Taste Metaphors Ground Emotion Concepts Through the Shared Attribute of Valence.

Jason A Avery, Alexander G Liu, Madeline Carrington, Alex Martin

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jason A AveryLaboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, United States.
Alexander G LiuLaboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, United States.
Madeline CarringtonLaboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, United States.
Alex MartinLaboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD, United States.

Funding

The Neural Foundations for Memory and Social Cognition In The Human BrainZIAMH002588 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MARTIN, ALEX · 2009 to 2025
$21.1M
6 · The paper itself

Abstract

"Parting is such sweet sorrow." Taste metaphors provide a rich vocabulary for describing emotional experience, potentially serving as an adaptive mechanism for conveying abstract emotional concepts using concrete verbal references to our shared experience. We theorized that the popularity of these expressions results from the close association with hedonic valence shared by these two domains of experience. To explore the possibility that this affective quality underlies the semantic similarity of these domains, we used a behavioral "odd-one-out" task in an online sample of 1059 participants in order to examine the semantic similarity of concepts related to emotion, taste, and color, another rich source of sensory metaphors. We found that the semantic similarity of emotion and taste concepts was greater than that of emotion and color concepts. Importantly, the similarity of taste and emotion concepts was strongly related to their similarity in hedonic valence, a relationship which was also significantly greater than that present between color and emotion. These results suggest that the common core of valence between taste and emotion concepts allows us to bridge the conceptual divide between our shared sensory environment and our internal emotional experience.

Indexed as

cognitionemotiongrounded cognitionmetaphortaste

Identifiers

PMID35903735
PMCPMC9314637

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.