Horses can recognise their keeper from a photograph

A recent study has found that horses presented with photos of humans can recognise their keepers at a rate much better than chance.  

Ethologist Léa Lansade of the French National Research Institute for Agriculture, Food and Environment, conducted an experiment to find out how well horses can recognise individuals from photographs. Their results showed that horses can remember a keeper’s face even six months after having seen the person.

The research team used two computer screens to display a random selection of unfamiliar human faces. 11 three-year-old Welsh mares were trained to choose between two side by side images by pressing the touchscreen with their nose, then being given a food reward. Then over a course of 32 sessions, the team started to introduce photos of the horses' handlers into the selection of unfamiliar faces.

The researchers found that the horses correctly identified their current keeper and ignored the unfamiliar faces about 75% of the time – a rate significantly better than chance. The horses also selected photos of previous keepers - people they hadn’t seen in six months.

These results are surprising for several reasons. They suggest that horses can understand that photographs – two-dimensional images – represent real people, without being given any other cues like voice, behaviour or scent. They actually performed better at this task than dogs have done in previous research. 

The findings also suggest that horses form emotional attachments to their human keepers and have advanced facial recognition abilities. On an ethological level this would be very important as of course they would need to learn who to trust so they could alter their behaviour accordingly – knowing who to avoid or who they can approach safely. The results also show that horses have a good long-term memory for human faces. 

Study details: Lansade, L., Colson, V., Parias, C. et al. Female horses spontaneously identify a photograph of their keeper, last seen six months previously. Sci Rep 10, 6302 (2020). 

You can read the study in full here: https://doi.org/10.1038/s41598-020-62940-w