Evidence map›Paper›PMID 39106955›Full record

ArticleProceedings. Biological sciences2024

Selective and prolonged attention to emotional scenes in humans and bonobos.

Evy van Berlo, Tom S Roth, Yena Kim, Mariska E Kret

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2024. 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.

  1. Article
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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

4 authors.

Evy van BerloInstitute of Psychology, Cognitive Psychology Unit, Leiden University , Leiden, The Netherlands.ORCID 0000-0002-5523-7721
Tom S RothInstitute of Psychology, Cognitive Psychology Unit, Leiden University , Leiden, The Netherlands.ORCID 0000-0002-2985-120X
Yena KimInstitute of Psychology, Cognitive Psychology Unit, Leiden University , Leiden, The Netherlands.ORCID 0000-0003-0613-2226
Mariska E KretInstitute of Psychology, Cognitive Psychology Unit, Leiden University , Leiden, The Netherlands.ORCID 0000-0002-3197-5084

Funding

Elise Mathilde FundH2020 European Research CouncilTWCF
6 · The paper itself

Abstract

Perceiving emotions in others is at the foundation of higher-order social cognition. The importance of emotions is evidenced by the fact that they receive prioritized attention at early stages of processing the environment in humans and some other primates. Nevertheless, we do not fully understand how emotion modulates attention over longer durations in primates, particularly in great apes. Bonobos, one of our closest relatives, stand out in emotion processing and regulation among great apes. This makes them an interesting comparison species and a valuable model for studying the evolution of emotion perception in hominids. We investigated how bonobos and humans spontaneously attend to emotionally valent scenes in a preferential looking task using eye-tracking. With Bayesian mixed modelling, we found that bonobos and humans generally looked longer at emotional scenes, mainly of conspecifics. Moreover, while bonobos did not have a bias toward emotional human scenes, humans sustained their attention toward bonobos playing, grooming and having sex. Furthermore, when exploring an immediate bias for emotions, humans showed a bias toward affiliative human scenes, and bonobos showed a bias away from bonobos-in-distress scenes. These findings suggest that emotions modulate attention at early and later attentional stages in bonobos, similar to humans.

Indexed as

AttentionEmotionsPan paniscusAdultAnimalsBayes TheoremFemaleHumansMaleaffectattention biascomparativeemotioneye-tracking

Identifiers

PMID39106955
PMCPMC11303022

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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.