MIT researchers have designed a new kind of “deep learning” system that can help robots measure the quality of their communication with kids suffering from autism spectrum. This can be done by employing information unique to every kid. The disorder for autism spectrum is a condition associated to the development of brain that affects how a person socializes and perceives with others, causing issues in communication and social interaction. The word “spectrum” in autism spectrum points to the huge range of severity and symptoms.
Equipped with personalized “deep learning,” NAO (the kid-friendly robot) can smoothly guess the interest and engagement of every autistic kid, employing information unique to that specific person. This is done on the basis of a study conducted on 35 autistic kids. The new invention can change their lives forever and make them easier.
On a related note, researchers have designed a new robot that can assist online students to be more connected and engaged to the teacher in the classroom. Placed around the class, every robot has a fixed video screen managed by the distant consumer that allows the student all over the room to talk and see with the teacher and fellow students taking part personally.
The research, posted in Online Learning, discovered that robot learning normally advantages distant students more in comparison to conventional video conferencing, in which various students are shown on a sole screen. Rather than seeing at a screen crowded with faces as one does with conventional video conferencing, one can see a robot at least digitally, claimed associate professor in the U.S. at Michigan State University (MSU), Christine Greenhow, to the media in an interview. “It was such an advantage to have users personally personified in form of a robot. I can talk to you and look right at you,” Greenhow claimed further.