Publication in iScience: Understanding what facial expressions mean in different cultures
Blog post from Hume
A recent study used machine learning to analyze facial expressions from around the world, finding that there are 28 distinct kinds shared across cultures. The AI model was able to differentiate these expressions and quantify how many had similar meanings across countries. This research provides a detailed understanding of the universality of facial expressions and demonstrates how deep neural networks can be used to investigate psychological processes while controlling for human biases.
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