The School Attachment Monitor (SAM) is a computer application that utilizes machine learning and smart sensors to correctly analyze attachment in children. It was tested and applied by a research partnership team of child mental health and computing science specialists. SAM uses cutting-edge software that engages with children, beginning with warm-up exercises to acquaint them with the work. When contrasted to the judgments of specialists examining the same child’s information, researchers discovered that the SAM technology was able to quantify a child’s attachment precisely.
Source: https://medicalxpress.com/news/2021-07-machine-successfully-children.html
