Communication within a species is essential for access to resources, alerting to dangers, group facilitation and social bonding; human facial expressions are considered to be an important factor in one’s ability to communicate with others. Evidence has shown that dogs and horses are able to distinguish positive and negative facial expressions by observing photographs of humans, however there is currently no research on how facial expressions from a live human are perceived by horses. This study investigated how ponies distinguish facial expressions presented by live actors. Trained actors (n = 2), using the human Facial Action Coding System, displayed four facial expressions (anger, sadness, joy and neutral) individually to twenty ponies. Heart rate and behaviors of the ponies including first monocular eye look, eye look duration (right and left side bias) and latency to approach were observed. A generalized linear mixed model (GLIMMIX) using Sidak’s multiple comparisons of least squared means determined that when exposed to anger expressions ponies looked more often with their left eye first and when exposed to joy, looked more often with their right eye first (p = 0.011). The ponies spent more time looking at angry expressions (p = 0.0003) in comparison to other expressions. There was no variation in heart rate across expressions (p > 0.89). Regardless of human facial expression, ponies looked longer (p = 0.0035), took longer to approach (p = 0.0297) and displayed more oral behaviours (p < 0.0001) with one actor than the other indicating increased arousal or negative valence. Ponies with more experience as a lesson mount had lower heart rates (p < 0.0001) carried their head lower (p < 0.0001), kept their left ear on the actor (p < 0.03) and exhibited more oral behaviours (p < 0.0001) than ponies with less experience. This study demonstrates that ponies are able to distinguish facial expressions presented by a live human, but other factors also contribute to their responses to humans.
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http://dx.doi.org/10.3390/ani12182331 | DOI Listing |
J Hum Genet
January 2025
Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100144, China.
Hemifacial microsomia (HFM) is a rare congenital disorder that affects facial symmetry, ear development, and other congenital anomalies. However, known causal genes account for only approximately 6% of patients, indicating the need to discover more pathogenic genes. Association tests demonstrated an association between common variants in SHROOM3 and HFM (P = 1.
View Article and Find Full Text PDFPLoS One
January 2025
Human Biology & Primate Cognition Department, Institute of Biology, Leipzig University, Leipzig, Germany.
The Facial Action Coding System (FACS) is an objective observation tool for measuring human facial behaviour. It avoids subjective attributions of meaning by objectively measuring independent movements linked to facial muscles, called Action Units (AUs). FACS has been adapted to 11 other taxa, including most apes, macaques and domestic animals, but not yet gorillas.
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View Article and Find Full Text PDFJ Exp Psychol Gen
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Department of Psychology, Hebrew University of Jerusalem.
Emotion perception is a fundamental aspect of our lives because others' emotions may provide important information about their reactions, attitudes, intentions, and behavior. Following the seminal work of Ekman, much of the research on emotion perception has focused on facial expressions. Recent evidence suggests, however, that facial expressions may be more ambiguous than previously assumed and that context also plays an important role in deciphering the emotional states of others.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Psychology, Lyon College, Batesville, Arkansas, United States of America.
There has been an increased interest in standardized approaches to coding facial movement in mammals. Such approaches include Facial Action Coding Systems (FACS), where individuals are trained to identify discrete facial muscle movements that combine to create a facial configuration. Some studies have utilized FACS to analyze facial signaling, recording the quantity of morphologically distinct facial signals a species can generate.
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