Do horses have a concept of person? - PubMed (original) (raw)
Do horses have a concept of person?
Carol Sankey et al. PLoS One. 2011.
Abstract
Background: Animals' ability for cross-modal recognition has recently received much interest. Captive or domestic animals seem able to perceive cues of human attention and appear to have a multisensory perception of humans.
Methodology/principal findings: Here, we used a task where horses have to remain immobile under a vocal order to test whether they are sensitive to the attentional state of the experimenter, but also whether they behave and respond differently to the familiar order when tested by a familiar or an unknown person. Horses' response varied according to the person's attentional state when the order was given by an unknown person: obedience levels were higher when the person giving the order was looking at the horse than when he was not attentive. More interesting is the finding that whatever the condition, horses monitored much more and for longer times the unknown person, as if they were surprised to hear the familiar order given by an unknown voice.
Conclusion/significance: These results suggest that recognition of humans may lie in a global, integrated, multisensory representation of specific individuals, that includes visual and vocal identity, but also expectations on the individual's behaviour in a familiar situation.
Conflict of interest statement
Competing Interests: The authors have declared that no competing interests exist.
Figures
Figure 1. Obedience levels in response to the vocal order: time (s) spent immobile after being given the vocal command “stay!” by the familiar and unknown persons (max: 60 s).
Error bars represent standard errors. Wilcoxon _t_-tests, * P<0.05, ** P<0.01.
Figure 2. Mean number of monitoring (i.e. head rotations of approximately 45° or more towards the trainer during the time of immobility) sequences and mean monitoring duration (s) during the tests in the different conditions with the familiar and the unknown persons.
Error bars represent standard errors. * P<0.05, ** P<0.01.
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