Evidence map›Paper›PMID 37652178›Full record

ArticleBiological psychology2023

Nonverbal behavioral patterns predict social rejection elicited aggression.

M Quarmley, G Zelinsky, S Athar, Z Yang, J H Drucker, D Samaras, J M Jarcho

Abstract read
In one paragraph

Article in Biological psychology, 2023. 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
–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

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

7 authors.

M QuarmleyDepartment of Psychology, Temple University, Philadelphia, PA, United States.
G ZelinskyDepartment of Psychology, Stony Brook University, Stony Brook, NY, United States.
S AtharDepartment of Computer Science, Stony Brook University, Stony Brook, NY, United States.
Z YangDepartment of Computer Science, Stony Brook University, Stony Brook, NY, United States.
J H DruckerAptima Inc., Woburn, MA, United States.
D SamarasDepartment of Computer Science, Stony Brook University, Stony Brook, NY, United States.
J M JarchoDepartment of Psychology, Temple University, Philadelphia, PA, United States. Electronic address: johanna.jarcho@temple.edu.

Funding

Using Adolescent Nonverbal Behavior to Predict Aggression Against Bullies and BystandersR21HD093912 · NICHD · TEMPLE UNIV OF THE COMMONWEALTH · PI JARCHO, JOHANNA MOLLY · 2018 to 2019
$426k
Neural Mechanisms of Social Rejection elicited Aggression in AdolescenceF31MH125478 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI QUARMLEY, MEGAN · 2021 to 2022
$61k
NICHD NIH HHS R21 HD093912NIMH NIH HHS F31 MH125478
6 · The paper itself

Abstract

Aggression elicited by social rejection is costly, prevalent, and often lethal. Attempts to predict rejection-elicited aggression using trait-based data have had little success. This may be because in-the-moment aggression is a complex process influenced by current states of attention, arousal, and affect which are poorly predicted by trait-level characteristics. In a study of young adults (N = 89; 18-25 years), machine learning tested the extent to which nonverbal behavioral indices of attention (eye gaze), arousal (pupillary reactivity), and affect (facial expressions) during a novel social interaction paradigm predicted subsequent aggression towards rejecting and accepting peers. Eye gaze and pupillary reactivity predicted aggressive behavior; predictions were more successful than measures of trait-based aggression and harsh parenting. These preliminary results suggest that nonverbal behavior may elucidate underlying mechanisms of in-the-moment aggression.

Indexed as

AggressionSocial StatusAttentionHumansParentingSocial IsolationYoung AdultAggressive behaviorEye trackingMachine learningSocial rejection

Identifiers

PMID37652178
PMCPMC10591947

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.