Since Darwin's seminal works, the universality of facial expressions of emotion has remained one of the longest standing debates in the biological and social sciences. Briefly stated, the universality hypothesis claims that all humans communicate six basic internal emotional states (happy, surprise, fear, disgust, anger, and sad) using the same facial movements by virtue of their biological and evolutionary origins [Susskind JM, et al. (2008) Nat Neurosci 11:843-850]. Here, we refute this assumed universality. Using a unique computer graphics platform that combines generative grammars [Chomsky N (1965) MIT Press, Cambridge, MA] with visual perception, we accessed the mind's eye of 30 Western and Eastern culture individuals and reconstructed their mental representations of the six basic facial expressions of emotion. Cross-cultural comparisons of the mental representations challenge universality on two separate counts. First, whereas Westerners represent each of the six basic emotions with a distinct set of facial movements common to the group, Easterners do not. Second, Easterners represent emotional intensity with distinctive dynamic eye activity. By refuting the long-standing universality hypothesis, our data highlight the powerful influence of culture on shaping basic behaviors once considered biologically hardwired. Consequently, our data open a unique nature-nurture debate across broad fields from evolutionary psychology and social neuroscience to social networking via digital avatars.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3358835 | PMC |
http://dx.doi.org/10.1073/pnas.1200155109 | 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.
View Article and Find Full Text PDFIntroduction: Systemic lupus erythematosus (SLE) is a chronic inflammatory autoimmune disease that affects various body systems, including the skin and facial features. Estrogen promotes lupus in human and mouse models of SLE. In this study, we conducted an in vivo study to investigate the relationship between two estrogen receptors (ERα and ERβ) and platelet-activating factor acetylhydrolase (PAF-AH) on the symptoms of SLE.
View Article and Find Full Text PDFJ Exp Psychol Gen
January 2025
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.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!