Evidence map›Paper›PMID 40002965›Full record

ArticleAnimals : an open access journal from MDPI2025

Dogs' Gazing Behavior to Humans Is Related to Their Liveliness, Aggressiveness, and the Emotional Comfort They Provide.

Eniko Kubinyi, Andrea Sommese, Márta Gácsi, Ádám Miklósi

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. 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

4 authors.

Eniko KubinyiDepartment of Ethology, Eötvös Loránd University, 1117 Budapest, Hungary.ORCID 0000-0002-4468-9845
Andrea SommeseDepartment of Ethology, Eötvös Loránd University, 1117 Budapest, Hungary.ORCID 0000-0001-8859-5018
Márta GácsiDepartment of Ethology, Eötvös Loránd University, 1117 Budapest, Hungary.ORCID 0000-0003-3080-7545
Ádám MiklósiDepartment of Ethology, Eötvös Loránd University, 1117 Budapest, Hungary.

Funding

Hungarian Academy of Sciences NAP2022-I-3/2022Hungarian Academy of Sciences PH1404/21
6 · The paper itself

Abstract

Gazing toward humans is fundamental in dog-human communication. This study aimed to characterize companion dogs based on their gazing behavior and to explore the potential links between gazing, personality (liveliness, confidence, aggressiveness, and attachment), emotional comfort provided to the owners, and breed. We observed 171 dogs in an ambiguous situation involving a moving stimulus, a remote-controlled toy car and gathered additional data with questionnaires. Our behavior analysis, based on gaze frequency directed at the owner and experimenter, identified four distinct clusters of dogs: low gazers, experimenter-focused gazers, owner-focused gazers, and frequent gazers. We found that experimenter-focused gazers exhibited lower levels of liveliness than frequent gazers and were reported to be less aggressive than low gazers and frequent gazers. Owner-focused gazers provided more emotional comfort to their owners than low gazers. Regarding breeds, 56.5% of German shepherd dogs were low gazers, compared to only 5.3% of golden retrievers. Age, sex, neutered status, and approaching the stimulus were not associated with cluster membership. These results highlight the complexity of dog-human communication, suggesting that personality, emotional factors, and breed shape how dogs seek guidance and support from humans or express anxiety.

Indexed as

ambiguous situationdog personalitygazing behaviorhuman–animal relationshipinterspecific communication

Identifiers

PMID40002965
PMCPMC11851834

What OpenQuestion holds

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LicenceCC BY
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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.