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Researchers have now developed a type of personalized machine learning that helps robots estimate the engagement and interest of each child during these interactions, using data that are unique to that child. Armed with this personalized ‘deep learning’ network, the robots’ perception of the children’s responses agreed with assessments by human experts, with a correlation score of 60 percent.