Horses form cross-modal representations of adults and children.
- Journal Article
Summary
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
Publication
Researcher Affiliations
- CNRS, IFCE, INRAE, Université de Tours, PRC, 37380, Nouzilly, France. plotine.jardat@gmail.com.
- Department of Animal Science, Teikyo University of Science, Tokyo, Japan.
- Institute for Advanced Study, Kyoto University, Kyoto, Japan.
- Wildlife Research Center, Kyoto University, Kyoto, Japan.
- CNRS, IFCE, INRAE, Université de Tours, PRC, 37380, Nouzilly, France.
- CNRS, IFCE, INRAE, Université de Tours, PRC, 37380, Nouzilly, France.
- CNRS, IFCE, INRAE, Université de Tours, PRC, 37380, Nouzilly, France.
- UEPAO, INRAE, 37380, Nouzilly, France.
- CNRS, IFCE, INRAE, Université de Tours, PRC, 37380, Nouzilly, France.
- 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
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Citations
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