Evidence map›Paper›PMID 36864246›Full record

ArticleAnimal cognition2023

Do you see what I see? Testing horses' ability to recognise real-life objects from 2D computer projections.

Sarah Kappel, Marco A Ramirez Montes De Oca, Sarah Collins, Katherine Herborn, Michael Mendl, Carole Fureix

Abstract read
In one paragraph

Article in Animal cognition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

6 authors.

Sarah KappelSchool of Biological and Marine Sciences, University of Plymouth, Portland Square, Drake Circus, Plymouth, PL4 8AA, UK. sarah.kappel@plymouth.ac.uk.ORCID http://orcid.org/0000-0002-8877-5462
Marco A Ramirez Montes De OcaBristol Veterinary School, University of Bristol, Langford House, Langford, BS40 5DU, UK.
Sarah CollinsSchool of Biological and Marine Sciences, University of Plymouth, Portland Square, Drake Circus, Plymouth, PL4 8AA, UK.
Katherine HerbornSchool of Biological and Marine Sciences, University of Plymouth, Portland Square, Drake Circus, Plymouth, PL4 8AA, UK.
Michael MendlBristol Veterinary School, University of Bristol, Langford House, Langford, BS40 5DU, UK.
Carole FureixSchool of Biological and Marine Sciences, University of Plymouth, Portland Square, Drake Circus, Plymouth, PL4 8AA, UK.

Funding

University of Plymouth GD105241-106
6 · The paper itself

Abstract

The use of 2-dimensional representations (e.g. photographs or digital images) of real-life physical objects has been an important tool in studies of animal cognition. Horses are reported to recognise objects and individuals (conspecifics and humans) from printed photographs, but it is unclear whether image recognition is also true for digital images, e.g. computer projections. We expected that horses trained to discriminate between two real-life objects would show the same learnt response to digital images of these objects indicating that the images were perceived as objects, or representations of such. Riding-school horses (N = 27) learnt to touch one of two objects (target object counterbalanced between horses) to instantly receive a food reward. After discrimination learning (three consecutive sessions of 8/10 correct trials), horses were immediately tested with on-screen images of the objects over 10 image trials interspersed with five real object trials. At first image presentation, all but two horses spontaneously responded to the images with the learnt behaviour by contacting one of the two images, but the number of horses touching the correct image was not different from chance (14/27 horses, p > 0.05). Only one horse touched the correct image above chance level across 10 image trials (9/10 correct responses, p = 0.021). Our findings thus question whether horses recognise real-life objects from digital images. We discuss how methodological factors and individual differences (i.e. age, welfare state) might have influenced animals' response to the images, and the importance of validating the suitability of stimuli of this kind for cognitive studies in horses.

Indexed as

CognitionLearningAnimalsDiscrimination LearningHorsesHumansRecognition, PsychologyTouchEquinesHorse cognitionImage recognitionIndividual cognitive performance

Identifiers

PMID36864246
PMCPMC9980859

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.