Analyze Diet
Animal cognition2022; 26(2); 369-377; doi: 10.1007/s10071-022-01667-9

Horses form cross-modal representations of adults and children.

Abstract: Recently, research on domestic mammals' sociocognitive skills toward humans has been prolific, allowing us to better understand the human-animal relationship. For example, horses have been shown to distinguish human beings on the basis of photographs and voices and to have cross-modal mental representations of individual humans and human emotions. This leads to questions such as the extent to which horses can differentiate human attributes such as age. Here, we tested whether horses discriminate human adults from children. In a cross-modal paradigm, we presented 31 female horses with two simultaneous muted videos of a child and an adult saying the same neutral sentence, accompanied by the sound of an adult's or child's voice speaking the sentence. The horses looked significantly longer at the videos that were incongruent with the heard voice than at the congruent videos. We conclude that horses can match adults' and children's faces and voices cross-modally. Moreover, their heart rates increased during children's vocalizations but not during adults'. This suggests that in addition to having mental representations of adults and children, horses have a stronger emotional response to children's voices than adults' voices.
Publication Date: 2022-08-13 PubMed ID: 35962844PubMed Central: 4785927DOI: 10.1007/s10071-022-01667-9Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • Journal Article

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This research studied whether horses can identify and distinguish between adults and children using both visual and auditory cues. The findings indicate that horses can indeed differentiate between human adults and children based on their faces and voices, and they react more strongly to children’s voices.

Understanding the Experiment

In this study, the researchers used cross-modal testing to see whether horses can differentiate between adults and children. This involved:

  • Showing 31 female horses two muted videos at the same time – one featuring a child and the other an adult speaking the same neutral sentence.
  • Playing the voice of an adult or child saying the sentence. This voice did not always match the person shown in the video, creating congruent (matching voice and video) and incongruent (non-matching voice and video) scenarios.

Observations Made

Based on the horses’ reactions to these stimuli, the researchers made several observations:

  • Horses spent significantly more time looking at the videos that were incongruent with the heard voice than the congruent ones. This suggests that horses can pair human faces and voices by age group (adult versus child).
  • Horses’ heart rates increased during the playback of children’s voices but not during adults’. This finding suggests that horses may have a stronger emotional response to children’s voices compared to adults’.
  • Research Conclusions

    From these observations, the researchers concluded that horses have the ability to form cross-modal representations of human adults and children. In other words, they can mentally link what a human looks like (an adult or a child) with what they sound like. The differential heart rate response also suggests that horses may be more emotionally attuned to or affected by children’s voices.

    In overall, this study has contributed to the increasing body of research in understanding domestic mammals’ sociocognitive abilities towards humans. It provides valuable insights into how animals, such as horses, perceive and react to different human attributes like age, potentially influencing the human-animal interaction strategies.

Cite This Article

APA
Jardat P, Ringhofer M, Yamamoto S, Gouyet C, Degrande R, Parias C, Reigner F, Calandreau L, Lansade L. (2022). Horses form cross-modal representations of adults and children. Anim Cogn, 26(2), 369-377. https://doi.org/10.1007/s10071-022-01667-9

Publication

ISSN: 1435-9456
NlmUniqueID: 9814573
Country: Germany
Language: English
Volume: 26
Issue: 2
Pages: 369-377

Researcher Affiliations

Jardat, Plotine
  • CNRS, IFCE, INRAE, Université de Tours, PRC, 37380, Nouzilly, France. plotine.jardat@gmail.com.
Ringhofer, Monamie
  • Department of Animal Science, Teikyo University of Science, Tokyo, Japan.
Yamamoto, Shinya
  • Institute for Advanced Study, Kyoto University, Kyoto, Japan.
  • Wildlife Research Center, Kyoto University, Kyoto, Japan.
Gouyet, Chloé
  • CNRS, IFCE, INRAE, Université de Tours, PRC, 37380, Nouzilly, France.
Degrande, Rachel
  • CNRS, IFCE, INRAE, Université de Tours, PRC, 37380, Nouzilly, France.
Parias, Céline
  • CNRS, IFCE, INRAE, Université de Tours, PRC, 37380, Nouzilly, France.
Reigner, Fabrice
  • UEPAO, INRAE, 37380, Nouzilly, France.
Calandreau, Ludovic
  • CNRS, IFCE, INRAE, Université de Tours, PRC, 37380, Nouzilly, France.
Lansade, Léa
  • CNRS, IFCE, INRAE, Université de Tours, PRC, 37380, Nouzilly, France. lea.lansade@inrae.fr.

MeSH Terms

  • Humans
  • Female
  • Horses
  • Animals
  • Emotions
  • Voice
  • Hearing
  • Sound
  • Human-Animal Interaction
  • Mammals

Grant Funding

  • 32 000809-Cognition Equine / IFCE

References

This article includes 46 references
  1. Adachi I, Kuwahata H, Fujita K. Dogs recall their owner's face upon hearing the owner's voice.. Anim Cogn 2007 Jan;10(1):17-21.
    doi: 10.1007/s10071-006-0025-8pubmed: 16802145google scholar: lookup
  2. Albuquerque N, Guo K, Wilkinson A, Savalli C, Otta E, Mills D. Dogs recognize dog and human emotions.. Biol Lett 2016 Jan;12(1):20150883.
    doi: 10.1098/rsbl.2015.0883pubmed: 26763220pmc: 4785927google scholar: lookup
  3. Archer J. Why do people love their pets?. Evol Hum Behav 18:237–259.
  4. Archer J, Monton S. Preferences for infant facial features in pet dogs and cats. Ethology 117:217–226.
  5. Brensing K, Linke K. Behavior of dolphins towards adults and children during swim-with-dolphin programs and towards children with disabilities during therapy sessions. Anthrozoos 16:315–331.
  6. Briefer EF, Maigrot A-L, Mandel R. Segregation of information about emotional arousal and valence in horse whinnies. Sci Rep 5:9989.
    doi: 10.1038/srep09989google scholar: lookup
  7. Briefer EF, Tettamanti F, McElligott AG. Emotions in goats: mapping physiological, behavioural and vocal profiles. Anim Behav 99:131–143.
  8. Dilley LC, Wieland EA, Gamache JL, McAuley JD, Redford MA. Age-related changes to spectral voice characteristics affect judgments of prosodic, segmental, and talker attributes for child and adult speech.. J Speech Lang Hear Res 2013 Feb;56(1):159-77.
  9. Farkas LG, Hreczko TA, Kolar JC, Munro IR. Vertical and horizontal proportions of the face in young adult North American Caucasians: revision of neoclassical canons.. Plast Reconstr Surg 1985 Mar;75(3):328-38.
  10. Forkman B, Boissy A, Meunier-Salaün MC, Canali E, Jones RB. A critical review of fear tests used on cattle, pigs, sheep, poultry and horses.. Physiol Behav 2007 Oct 22;92(3):340-74.
    doi: 10.1016/j.physbeh.2007.03.016pubmed: 18046784google scholar: lookup
  11. Gácsi M, Miklód Á, Varga O. Are readers of our face readers of our minds? Dogs (Canis familiaris) show situation-dependent recognition of human’s attention. Anim Cogn 24:144–153.
    doi: 10.1007/s10071-003-0205-8google scholar: lookup
  12. Glaze LE, Bless DM, Milenkovic P, Susser RD. Acoustic characteristics of children’s voice. J Voice 2:312–319.
  13. Jardat P, Lansade L. Cognition and the human-animal relationship: a review of the sociocognitive skills of domestic mammals toward humans.. Anim Cogn 2022 Apr;25(2):369-384.
    doi: 10.1007/s10071-021-01557-6pubmed: 34476652google scholar: lookup
  14. Jardat P, Calandreau L, Ferreira V, Gouyet C, Parias C, Reigner F, Lansade L. Pet-directed speech improves horses' attention toward humans.. Sci Rep 2022 Mar 11;12(1):4297.
    doi: 10.1038/s41598-022-08109-zpubmed: 35277552pmc: 8917202google scholar: lookup
  15. Koo TK, Li MY. A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.. J Chiropr Med 2016 Jun;15(2):155-63.
    doi: 10.1016/j.jcm.2016.02.012pubmed: 27330520pmc: 4913118google scholar: lookup
  16. Lampe JF, Andre J. Cross-modal recognition of human individuals in domestic horses (Equus caballus).. Anim Cogn 2012 Jul;15(4):623-30.
    doi: 10.1007/s10071-012-0490-1pubmed: 22526687google scholar: lookup
  17. Lansade L, Bouissou MF, Erhard HW. Fearfulness in horses: a temperament trait stable across time and situations. Appl Anim Behav Sci 115:182–200.
  18. Lansade L, Colson V, Parias C. Human face recognition in horses: data in favor of a holistic process. Front Psychol 11:2311.
    doi: 10.3389/fpsyg.2020.575808google scholar: lookup
  19. Lansade L, Colson V, Parias C, Trösch M, Reigner F, Calandreau L. Female horses spontaneously identify a photograph of their keeper, last seen six months previously.. Sci Rep 2020 Apr 14;10(1):6302.
    doi: 10.1038/s41598-020-62940-wpubmed: 32286345pmc: 7156667google scholar: lookup
  20. Lansade L, Trösch M, Parias C. Horses are sensitive to baby talk: pet-directed speech facilitates communication with humans in a pointing task and during grooming. Anim Cogn 5:999–1006.
  21. Lee S, Potamianos A, Narayanan S. Acoustics of children's speech: developmental changes of temporal and spectral parameters.. J Acoust Soc Am 1999 Mar;105(3):1455-68.
    doi: 10.1121/1.426686pubmed: 10089598google scholar: lookup
  22. Little AC. Manipulation of infant-like traits affects perceived cuteness of infant, adult and cat faces. Ethology 118:775–782.
  23. Moyse E. Age estimation from faces and voices: a review. Psychologica Belgica pp 255–265.
  24. Munsters CC, Visser KE, van den Broek J, Sloet van Oldruitenborgh-Oosterbaan MM. The influence of challenging objects and horse-rider matching on heart rate, heart rate variability and behavioural score in riding horses.. Vet J 2012 Apr;192(1):75-80.
    doi: 10.1016/j.tvjl.2011.04.011pubmed: 21612959google scholar: lookup
  25. Nakamura K, Takimoto-Inose A, Hasegawa T. Cross-modal perception of human emotion in domestic horses (Equus caballus).. Sci Rep 2018 Jun 21;8(1):8660.
    doi: 10.1038/s41598-018-26892-6pubmed: 29930289pmc: 6013457google scholar: lookup
  26. Pattison KF, Miller HC, Rayburn-Reeves R, Zentall T. The case of the disappearing bone: dogs' understanding of the physical properties of objects.. Behav Processes 2010 Oct;85(3):278-82.
    doi: 10.1016/J.BEPROC.2010.06.016pubmed: 20600694google scholar: lookup
  27. Proops L, Mccomb K. Cross-modal individual recognition in domestic horses (Equus caballus) extends to familiar humans. Proc R Soc B Biol Sci 279:3131–3138.
    doi: 10.1098/rspb.2012.0626google scholar: lookup
  28. Proops L, Grounds K, Smith AV, McComb K. Animals Remember Previous Facial Expressions that Specific Humans Have Exhibited.. Curr Biol 2018 May 7;28(9):1428-1432.e4.
    doi: 10.1016/j.cub.2018.03.035pubmed: 29706519google scholar: lookup
  29. Quaranta A, d'Ingeo S, Amoruso R, Siniscalchi M. Emotion Recognition in Cats.. Animals (Basel) 2020 Jun 28;10(7).
    doi: 10.3390/ani10071107pubmed: 32605256pmc: 7401521google scholar: lookup
  30. R Core Team. R: a language and environment forstatistical computing. R Foundation for Statistical Computing, Vienna, Austria.
  31. Ringhofer M, Yamamoto S. Domestic horses send signals to humans when they face with an unsolvable task.. Anim Cogn 2017 May;20(3):397-405.
    doi: 10.1007/s10071-016-1056-4pubmed: 27885519google scholar: lookup
  32. Ringhofer M, Trösch M, Lansade L, Yamamoto S. Horses with sustained attention follow the pointing of a human who knows where food is hidden. Sci Rep 111(11):1–9.
  33. Russell JA, Barrett LF. Core affect, prototypical emotional episodes, and other things called emotion: dissecting the elephant.. J Pers Soc Psychol 1999 May;76(5):805-19.
    doi: 10.1037/0022-3514.76.5.805pubmed: 10353204google scholar: lookup
  34. Siniscalchi M, d'Ingeo S, Quaranta A. Orienting asymmetries and physiological reactivity in dogs' response to human emotional faces.. Learn Behav 2018 Dec;46(4):574-585.
    doi: 10.3758/s13420-018-0325-2pubmed: 29923158google scholar: lookup
  35. Smith AV, Proops L, Grounds K, Wathan J, Scott SK, McComb K. Domestic horses (Equus caballus) discriminate between negative and positive human nonverbal vocalisations.. Sci Rep 2018 Aug 29;8(1):13052.
    doi: 10.1038/s41598-018-30777-zpubmed: 30158532pmc: 6115467google scholar: lookup
  36. Somppi S, Törnqvist H, Hänninen L, Krause C, Vainio O. Dogs do look at images: eye tracking in canine cognition research.. Anim Cogn 2012 Mar;15(2):163-74.
    doi: 10.1007/s10071-011-0442-1pubmed: 21861109google scholar: lookup
  37. Stathopoulos ET, Huber JE, Sussman JE. Changes in acoustic characteristics of the voice across the life span: measures from individuals 4-93 years of age.. J Speech Lang Hear Res 2011 Aug;54(4):1011-21.
  38. Sussman JE, Sapienza C. Articulatory, developmental, and gender effects on measures of fundamental frequency and jitter.. J Voice 1994 Jun;8(2):145-56.
    doi: 10.1016/S0892-1997(05)80306-6pubmed: 8061770google scholar: lookup
  39. Takagi S, Arahori M, Chijiiwa H, Saito A, Kuroshima H, Fujita K. Cats match voice and face: cross-modal representation of humans in cats (Felis catus).. Anim Cogn 2019 Sep;22(5):901-906.
    doi: 10.1007/s10071-019-01265-2pubmed: 31076940google scholar: lookup
  40. Trösch M, Cuzol F, Parias C, Calandreau L, Nowak R, Lansade L. Horses Categorize Human Emotions Cross-Modally Based on Facial Expression and Non-Verbal Vocalizations.. Animals (Basel) 2019 Oct 24;9(11).
    doi: 10.3390/ani9110862pubmed: 31653088pmc: 6912773google scholar: lookup
  41. Trösch M, Ringhofer M, Yamamoto S, Lemarchand J, Parias C, Lormant F, Lansade L. Horses prefer to solicit a person who previously observed a food-hiding process to access this food: A possible indication of attentional state attribution.. Behav Processes 2019 Sep;166:103906.
    doi: 10.1016/j.beproc.2019.103906pubmed: 31301426google scholar: lookup
  42. Trösch M, Bertin E, Calandreau L, Nowak R, Lansade L. Unwilling or willing but unable: can horses interpret human actions as goal directed?. Anim Cogn 2020 Sep;23(5):1035-1040.
    doi: 10.1007/s10071-020-01396-xpubmed: 32449047google scholar: lookup
  43. Trösch M, Pellon S, Cuzol F, Parias C, Nowak R, Calandreau L, Lansade L. Horses feel emotions when they watch positive and negative horse-human interactions in a video and transpose what they saw to real life.. Anim Cogn 2020 Jul;23(4):643-653.
    doi: 10.1007/s10071-020-01369-0pubmed: 32162112google scholar: lookup
  44. von Borell E, Langbein J, Després G. Heart rate variability as a measure of autonomic regulation of cardiac activity for assessing stress and welfare in farm animals—a review. Physiol Behav 92:293–316.
  45. Wanser SH, Simpson AC, MacDonald M, Udell MAR. Considering family dog attachment bonds: do dog-parent attachments predict dog-child attachment outcomes in animal-assisted interventions?. Front Psychol 11:2293.
  46. Wanser SH, MacDonald M, Udell MAR. Dog-human behavioral synchronization: family dogs synchronize their behavior with child family members.. Anim Cogn 2021 Jul;24(4):747-752.
    doi: 10.1007/s10071-020-01454-4pubmed: 33433821google scholar: lookup

Citations

This article has been cited 3 times.
  1. Jardat P, Liehrmann O, Reigner F, Parias C, Calandreau L, Lansade L. Horses discriminate between human facial and vocal expressions of sadness and joy.. Anim Cogn 2023 Sep;26(5):1733-1742.
    doi: 10.1007/s10071-023-01817-7pubmed: 37543956google scholar: lookup
  2. Gouyet C, Ringhofer M, Yamamoto S, Jardat P, Parias C, Reigner F, Calandreau L, Lansade L. Horses cross-modally recognize women and men.. Sci Rep 2023 Mar 8;13(1):3864.
    doi: 10.1038/s41598-023-30830-6pubmed: 36890162google scholar: lookup
  3. Schubert CL, Ryckewaert B, Pereira C, Matsuzawa T. Garrano Horses Perceive Letters of the Alphabet on a Touchscreen System: A Pilot Study.. Animals (Basel) 2022 Dec 12;12(24).
    doi: 10.3390/ani12243514pubmed: 36552434google scholar: lookup