Evidence map›Paper›PMID 41915033›Full record

ArticleSocial cognitive and affective neuroscience2026

Prediction strength shapes representations of social judgments and bodily responses to prediction violations.

Carlos Ventura-Bort, Lea Kolesnyk, Marion Dopfer, Lorena Chanes, Mathias Weymar

Abstract read
In one paragraph

Article in Social cognitive and affective neuroscience, 2026. 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

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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

5 authors.

Carlos Ventura-BortDepartment of Biological Psychology and Affective Science, Faculty of Human Sciences, University of Potsdam, Potsdam, 14476, Germany.ORCID 0000-0002-0307-2574
Lea KolesnykDepartment of Biological Psychology and Affective Science, Faculty of Human Sciences, University of Potsdam, Potsdam, 14476, Germany.
Marion DopferDepartment of Biological Psychology and Affective Science, Faculty of Human Sciences, University of Potsdam, Potsdam, 14476, Germany.
Lorena ChanesDepartment of Clinical and Health Psychology, Universitat Autònoma de Barcelona, Barcelona, 08193, Spain.
Mathias WeymarDepartment of Biological Psychology and Affective Science, Faculty of Human Sciences, University of Potsdam, Potsdam, 14476, Germany.ORCID 0000-0002-3968-9656

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perceivers' beliefs are critical to form social judgments. However, it remains unclear how the strength of these beliefs or predictions shapes social perception. Here, we investigated how the representation of social perceptions (trustworthiness and likeability ratings) and bodily responses [skin conductance response (SCR)] are modulated by prediction strength, using representational similarity analysis. In two samples of university students, stronger predictions led participants to judge identities as more trustworthy and likeable when identities' facial reactions conformed to their predictions compared to when they were violated. Furthermore, the representational structure of social judgments and SCR were associated with models of prediction fulfillment/violation. More importantly, the similarity between social judgments, SCR representations, and models of prediction violation was positively linked to predictions strength. These results demonstrate that predictions strength modulates how fulfilled/violated predictions influence social judgments and bodily responses, providing new insights into the mechanisms underlying social perception.

Indexed as

Galvanic Skin ResponseJudgmentSocial PerceptionAdolescentAdultFemaleHumansMaleOutcome ExpectationsPhotic StimulationTrustYoung Adultlikeabilitypredictionsskin conductance responsesocial perceptiontrustworthiness

Identifiers

PMID41915033
PMCPMC13242948

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.