Evidence map›Paper›PMID 37217820›Full record

ArticleAttention, perception & psychophysics2023

Role of facial familiarity and emotional expression intensity in ensemble emotion perception.

Deema Awad, Nathan J Emery, Isabelle Mareschal

Abstract read
In one paragraph

Article in Attention, perception & psychophysics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

3 authors.

Deema AwadDepartment of Psychological and Behavioural Science, London School of Economics, Houghton St, London, London, WC2A 2AE, UK. d.awad@lse.ac.uk.
Nathan J EmeryDepartment of Biological & Experimental Psychology, School of Biological & Chemical Sciences, Queen Mary University of London, London, E1 4NS, UK.
Isabelle MareschalDepartment of Biological & Experimental Psychology, School of Biological & Chemical Sciences, Queen Mary University of London, London, E1 4NS, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When looking at groups of people, we can extract information from the different faces to derive properties of the group, such as its average facial emotion, although how this average is computed remains a matter of debate. Here, we examined whether our participants' personal familiarity with the faces in the group, as well as the intensity of the facial expressions, biased ensemble perception. Participants judged the average emotional expression of ensembles of four different identities whose expressions depicted either neutral, angry, or happy emotions. For the angry and happy expressions, the intensity of the emotion could be either low (e.g., slightly happy) or high (very happy). When all the identities in the ensemble were unfamiliar, the presence of any high intensity emotional face biased ensemble perception towards its emotion. However, when a familiar face was present in the ensemble, perception was biased towards the familiar face's emotion regardless of its intensity. These findings reveal that how we perceive the average emotion of a group is influenced by both the emotional intensity and familiarity of the faces comprising the group, supporting the idea that different faces may be weighted differently in ensemble perception. These findings have important implications for the judgements we make about a group's overall emotional state may be biased by individuals within the group.

Indexed as

EmotionsFacial RecognitionAngerFacial ExpressionHappinessHumansPerceptionEmotionsEnsemble perceptionFace perceptionFamiliarity

Identifiers

PMID37217820
PMCPMC10202360

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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.