Evidence map›Paper›PMID 36890162›Full record

ArticleScientific reports2023

Horses cross-modally recognize women and men.

Chloé Gouyet, Monamie Ringhofer, Shinya Yamamoto, Plotine Jardat, Céline Parias, Fabrice Reigner, Ludovic Calandreau, Léa Lansade

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% of its field
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 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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

8 authors at 6 institutions in 2 countries.

Chloé GouyetCNRS, IFCE, INRAE, Université de Tours, PRC, 37380, Nouzilly, France.
Monamie RinghoferDepartment of Animal Science, Teikyo University of Science, Yamanashi, Japan.
Shinya YamamotoInstitute for Advanced Study, Kyoto University, Kyoto, Japan.
Plotine JardatCNRS, IFCE, INRAE, Université de Tours, PRC, 37380, Nouzilly, France.
Céline PariasCNRS, IFCE, INRAE, Université de Tours, PRC, 37380, Nouzilly, France.
Fabrice ReignerUEPAO, INRAE, 37380, Nouzilly, France.
Ludovic CalandreauCNRS, IFCE, INRAE, Université de Tours, PRC, 37380, Nouzilly, France.
Léa LansadeCNRS, IFCE, INRAE, Université de Tours, PRC, 37380, Nouzilly, France. lea.lansade@inrae.fr.
Physiologie de la Reproduction et des Comportements · FRUniversité de Tours · FRBiologie des Oiseaux et Aviculture · FRInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRJapan Wildlife Research Center · JPTeikyo University of Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies have shown that horses have the ability to cross-modally recognize humans by associating their voice with their physical appearance. However, it remains unclear whether horses are able to differentiate humans according to different criteria, such as the fact that they are women or men. Horses might recognize some human characteristics, such as sex, and use these characteristics to classify them into different categories. The aim of this study was to explore whether domesticated horses are able to cross-modally recognize women and men according to visual and auditory cues, using a preferential looking paradigm. We simultaneously presented two videos of women and men's faces, while playing a recording of a human voice belonging to one of these two categories through a loudspeaker. The results showed that the horses looked significantly more towards the congruent video than towards the incongruent video, suggesting that they are able to associate women's voices with women's faces and men's voices with men's faces. Further investigation is necessary to determine the mechanism underlying this recognition, as it might be interesting to determine which characteristics horses use to categorize humans. These results suggest a novel perspective that could allow us to better understand how horses perceive humans.

Indexed as

VoiceAnimalsCuesFemaleHorsesHumansMaleRecognition, Psychology

Identifiers

PMID36890162
PMCPMC9995451
OpenAlexW4323652435

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.