Evidence map›Paper›PMID 39457816›Full record

ArticleBehavioral sciences (Basel, Switzerland)2024

Methodological Variations to Explore Conflicting Results in the Existing Literature of Masking Smile Judgment.

Annalie Pelot, Adèle Gallant, Marie-Pier Mazerolle, Annie Roy-Charland

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Annalie PelotSchool of Psychology, Laurentian University, Sudbury, ON P3E 2C6, Canada.
Adèle GallantÉcole de Psychologie, Université de Moncton, Moncton, NB E1A 3E9, Canada.ORCID 0000-0002-9706-8735
Marie-Pier MazerolleÉcole de Psychologie, Université de Moncton, Moncton, NB E1A 3E9, Canada.
Annie Roy-CharlandÉcole de Psychologie, Université de Moncton, Moncton, NB E1A 3E9, Canada.

Funding

Canadian Foundation for Innovation (CFI) 18356Natural Sciences and Engineering Research Council of Canada (NSERC) RGPIN-2020-05575
6 · The paper itself

Abstract

Although a smile can serve as an expression of genuine happiness, it can also be generated to conceal negative emotions. The traces of negative emotion present in these types of smiles can produce micro-expressions, subtle movements of the facial muscles manifested in the upper or lower half of the face. Studies examining the judgment of smiles masking negative emotions have mostly employed dichotomous rating measures, while also assuming that dichotomous categorization of a smile as happy or not is synonymous with judgments of the smile's authenticity. The aim of the two studies was to explore the judgment of enjoyment and masking smiles using unipolar and bipolar continuous rating measures and examine differences in the judgment when instruction varied between judgments of happiness and authenticity. In Experiment 1, participants rated smiles on 7-point scales on perceived happiness and authenticity. In Experiment 2, participants rated the smiles on bipolar 7-point scales between happiness and a negative emotion label. In both studies, similar patterns were observed: faces with traces of fear were rated significantly less happy/authentic and those with traces of anger in the brows were rated significantly happier/more authentic. Regarding varied instruction type, no effect was found for the two instruction types, indicating that participants perceive and judge enjoyment and masking smiles similarly according to these two instructions. Additionally, the use of bipolar scales with dimensions between a negative emotion label and happiness were not consistently effective in influencing the judgement of the masking smile.

Indexed as

continuous rating scalesenjoyment smilesinstructionmasking smiles

Identifiers

PMID39457816
PMCPMC11505263

What OpenQuestion holds

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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.