Evidence map›Paper›PMID 36540395›Full record

ArticlePersonality and individual differences2022

Unmasking the psychology of recognizing emotions of people wearing masks: The role of empathizing, systemizing, and autistic traits.

Vijayachandra Ramachandra, Hannah Longacre

Open access · greenAbstract read
In one paragraph

Article in Personality and individual differences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
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

15 citing papers in PubMed, 43 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Vijayachandra RamachandraMarywood University, Department of Communication Sciences and Disorders, Scranton, PA 18509, USA.
Hannah LongacreMarywood University, Department of Communication Sciences and Disorders, Scranton, PA 18509, USA.
Marywood University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the COVID-19 pandemic, millions of people around the world have been wearing masks. This has negatively affected the reading of facial emotions. In the current study, the ability of participants' emotional recognition of faces and the eye region alone (similar to viewing masked faces) was analyzed in conjunction with psychological factors such as their capacity to empathize, systemize and the degree of autistic traits. Data from 403 healthy adults between 18 and 40 years revealed a significant difference between faces and eyes-only conditions for accuracy of emotion recognition as well as emotion intensity ratings, indicating a reduction in the capacity to recognize emotions and experience the emotion intensities of individuals wearing masks. As expected, people who were more empathetic were better at recognizing both 'facial' and 'eyes-only' emotions. This indicates that empathizers might have an upper hand in recognizing emotions of masked faces. There was a negative correlation between the degree of autistic traits and emotion recognition in both faces and eyes-only conditions. This suggests that individuals with higher levels of autistic traits would have greater difficulty recognizing emotions of both faces with and without masks. None of the psychological factors had a significant relationship with emotion intensity ratings. Finally, systemizing tendencies had no correlation with either emotion recognition or emotion intensity ratings.

Indexed as

Autistic traitsCOVID-19Emotion recognitionEmpathizingMasksSystemizing

Identifiers

PMID36540395
PMCPMC9756083
OpenAlexW3199250798

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.