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Home / Equine Research Bank / Anim Welf / How well can you tell? Success of human categorisation of ho...
Animal welfare (South Mimms, England)2024; 33; e50; doi: 10.1017/awf.2024.55

How well can you tell? Success of human categorisation of horse behavioural responses depicted in media.

Abstract: Horses employ a range of subtle to overt behaviours to communicate their current affective state. Humans who are more cognisant of their own bodily sensations may be more attuned to recognising affective states in horses () thereby promoting positive human-horse interactions. This study investigated human ability to categorise human-horse interactions depicted in media relative to equine behaviour experts and compared participant scores to their level of interoception. Using an online survey, participants (n = 534) categorised 31 photographs and videos as (overt) positive, likely (subtle) positive, neutral, likely (subtle) negative or (overt) negative human-horse interactions from the horse's point of view and completed the Multidimensional Assessment of Interoceptive Awareness questionnaire (MAIA-2) to assess their level of interoception. Demographic information was also collected (age, gender, education, level of experience with horses, location). Participants differed from expert categorisations of horse affective states across all categories, exactly matching experts only 52.5% of the time and approximately matching experts for positive and negative valence 78.5% of the time. The MAIA-2 did not predict participant ability to accurately categorise human-horse interactions. Women outperformed men in categorising overt positive, overt negative and subtle negative human-horse interactions. Increased levels of education and greater experience with horses were associated with improved categorisation of certain human-horse interactions. More training or awareness is needed to recognise behavioural indicators of horse affect to guide appropriate human-horse activities that impact horse welfare.
© The Author(s) 2024.
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Publication Date: 2024-11-11 PubMed ID: 39600357PubMed Central: PMC11589072DOI: 10.1017/awf.2024.55Google Scholar: Lookup
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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.

Overview

  • This study examined how well humans can identify the emotional states of horses based on their behaviors shown in photos and videos.
  • It compared general participants’ categorizations to those of horse behavior experts and explored whether a person’s sensitivity to their own bodily sensations (interoception) influenced their accuracy.

Background

  • Horses use a variety of subtle to overt behaviors to express their feelings and emotional states.
  • Recognizing these behaviors accurately is important for promoting positive interactions between humans and horses, which can affect horse welfare.
  • A theory exists that people who are more aware of their own internal bodily sensations (interoception) may be better at interpreting others’ emotional states, including horses.

Study Design and Methods

  • An online survey was created and completed by 534 participants.
  • Participants were asked to categorize 31 photographs and videos depicting human-horse interactions from the horse’s perspective into one of five categories reflecting affective states:
    • Overt positive
    • Likely (subtle) positive
    • Neutral
    • Likely (subtle) negative
    • Overt negative
  • Participants also completed the Multidimensional Assessment of Interoceptive Awareness questionnaire (MAIA-2) to evaluate their level of interoception.
  • Demographic data collected included age, gender, education level, horse experience, and geographic location.
  • Expert categorizations of the same media served as a benchmark for accuracy.

Key Findings

  • Participants matched expert categorizations exactly about 52.5% of the time overall.
  • When considering just the positive and negative emotional valence (side of the spectrum), participants matched experts approximately 78.5% of the time.
  • Interoception scores measured by MAIA-2 did not significantly predict how accurately participants identified horse affective states.
  • Women performed better than men in recognizing overt positive, overt negative, and subtle negative horse emotions.
  • Higher education levels and greater experience with horses were linked to improved accuracy in categorizing some types of human-horse interactions.

Interpretation and Implications

  • Overall, people are moderately successful at interpreting horse emotional states from media, but many inaccuracies remain, especially with subtle cues.
  • The lack of influence from interoception suggests that bodily self-awareness alone does not enhance the ability to read horse emotions.
  • Gender, education, and hands-on experience with horses are important factors influencing accuracy, indicating the potential value of training and education.
  • Poor recognition of horse affective states can lead to inappropriate or harmful interactions, potentially impacting horse welfare negatively.
  • The findings support the need for increased education and awareness programs focused on horse behavior recognition to foster better human-horse relationships and welfare outcomes.

Conclusion

  • Humans show variable success in understanding horse emotions from media, with moderate overall agreement with experts.
  • Interoceptive awareness did not improve performance, but demographics and experience did.
  • More targeted training is recommended to improve the recognition of horse behavioral cues, which can enhance welfare and safety in human-horse interactions.

Cite This Article

APA
Merkies K, Trudel K. (2024). How well can you tell? Success of human categorisation of horse behavioural responses depicted in media. Anim Welf, 33, e50. https://doi.org/10.1017/awf.2024.55

Publication

Animal welfare (South Mimms, England)
ISSN: 2054-1538
NlmUniqueID: 9214272
Country: England
Language: English
Volume: 33
Pages: e50
PII: e50

Researcher Affiliations

Merkies, Katrina
  • Department of Animal Biosciences and Campbell Centre for the Study of Animal Welfare, University of Guelph Guelph, ON N1G 2W1, Canada.
Trudel, Katelyn
  • Department of Animal Biosciences and Campbell Centre for the Study of Animal Welfare, University of Guelph Guelph, ON N1G 2W1, Canada.

Conflict of Interest Statement

None.

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