Evidence map›Paper›PMID 36176786›Full record

ArticleFrontiers in psychology2022

Mapping the perception-space of facial expressions in the era of face masks.

Alessia Verroca, Chiara Maria de Rienzo, Filippo Gambarota, Paola Sessa

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Inferring social signals from the eyes in male schizophrenia.Schizophrenia (Heidelberg, Germany) · 2024
    Article
  2. Article
  3. Recognizing and Looking at Masked Emotional Faces in Alexithymia.Behavioral sciences (Basel, Switzerland) · 2024
    Article
  4. Article
  5. Emotions behind a mask: the value of disgust.Schizophrenia (Heidelberg, Germany) · 2023
    Article
  6. 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.

Alessia VerrocaDepartment of Developmental and Social Psychology, University of Padova, Padova, Italy.
Chiara Maria de RienzoDepartment of Developmental and Social Psychology, University of Padova, Padova, Italy.
Filippo GambarotaDepartment of Developmental and Social Psychology, University of Padova, Padova, Italy.
Paola SessaDepartment of Developmental and Social Psychology, University of Padova, Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advent of the severe acute respiratory syndrome-Corona Virus type 2 (SARS-CoV-2) pandemic, the theme of emotion recognition from facial expressions has become highly relevant due to the widespread use of face masks as one of the main devices imposed to counter the spread of the virus. Unsurprisingly, several studies published in the last 2 years have shown that accuracy in the recognition of basic emotions expressed by faces wearing masks is reduced. However, less is known about the impact that wearing face masks has on the ability to recognize emotions from subtle expressions. Furthermore, even less is known regarding the role of interindividual differences (such as alexithymic and autistic traits) in emotion processing. This study investigated the perception of all the six basic emotions (anger, disgust, fear, happiness, sadness, and surprise), both as a function of the face mask and as a function of the facial expressions' intensity (full vs. subtle) in terms of participants' uncertainty in their responses, misattribution errors, and perceived intensity. The experiment was conducted online on a large sample of participants (

Indexed as

alexithymiaautistic traitsCOVID-19emotion recognitionface maskfacial expressions

Identifiers

PMID36176786
PMCPMC9514388

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.