![]() ![]() ![]() They used the algorithm to track instances of 16 facial expressions one tends to associate with amusement, anger, awe, concentration, confusion, contempt, contentment, desire, disappointment, doubt, elation, interest, pain, sadness, surprise and triumph. How they conducted the studyįirst, researchers used Cowen’s machine-learning algorithm to log facial expressions shown in 6 million video clips of events and interactions worldwide, such as watching fireworks, dancing joyously or consoling a sobbing child.Ĭowen’s online map shows variations of facial expressions associated with 16 emotions. ![]() The typical human face has 43 different muscles that can be activated around the eyes, nose, mouth, jaw, chin and brow to make thousands of different expressions. In addition to promoting cross-cultural empathy, potential applications include helping people who have trouble reading emotions, such as children and adults with autism, to recognize the faces humans commonly make to convey certain feelings. “This is the first worldwide analysis of how facial expressions are used in everyday life, and it shows us that universal human emotional expressions are a lot richer and more complex than many scientists previously assumed,” said study lead author Alan Cowen, a researcher at both UC Berkeley and Google who helped develop the deep neural network algorithm and led the study.Ĭowen created an online interactive map that demonstrates how the algorithm tracks variations of facial expressions that are associated with 16 emotions. Researchers at UC Berkeley and Google used machine-learning technology known as a “deep neural network” to analyze facial expressions in some 6 million video clips uploaded to YouTube from people in 144 countries spanning North, Central and South America, Africa, Europe, the Middle East and Asia. “This study reveals how remarkably similar people are in different corners of the world in how we express emotion in the face of the most meaningful contexts of our lives,” said study co-lead author Dacher Keltner, a UC Berkeley psychology professor and founding director of the Greater Good Science Center. 16, in the journal Nature, confirm the universality of human emotional expression across geographic and cultural boundaries at a time when nativism and populism are on the rise around the world. Whether at a birthday party in Brazil, a funeral in Kenya or protests in Hong Kong, humans all use variations of the same facial expressions in similar social contexts, such as smiles, frowns, grimaces and scowls, a new UC Berkeley study shows. Facial expressions of emotion transcend geography and culture, new study shows. ![]()
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