With the advent of AI and machine learning, the ability of computers to perform extraordinary tasks that were once unthinkable is quickly advancing. The analysis of human emotion is the next frontier.
The question is this: can a computer discern the difference between a happy image and one that is sad? In a few milliseconds, can it pick up nuances of human emotion based on interpretation of pixelated images?"Machine learning technology is getting really good at recognizing the content of images - of deciphering what kind of object it is," said Tor Wager, previously a Professor of Psychology and Neuroscience at the University of Colorado Boulder at the time of the research in aThe...
"A lot of people assume that humans evaluate their environment in a certain way and emotions follow from specific, ancestrally older brain systems like the limbic system," said lead author Philip Kragel, a postdoctoral research associate at the Institute of Cognitive Science."We found that the visual cortex itself also plays an important role in the processing and perception of emotion.
was exposed to a black screen, it recorded anxiety. Red registered as craving. Puppies produced amusement, and when two of them were together, it selected romance.was also able to consistently rate the intensity of images, identifying the actual emotion and its corresponding intensity. The MRI data also revealed that even a brief exposure to a simple image—a face or an object—could trigger emotion-based signal in the visual cortex of the brain. In addition, different types of emotions highlighted unique regions of the cortex, implying anatomical specificity for emotions.
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