[ad_1]
New York, June 29 (PTI) MIT scientists have developed a new type of in-depth learning network that can help robots badess the quality of their interactions with children with autism spectrum disorders . [19659002] Autism Spectrum Disorder is a condition related to brain development that influences the way a person perceives and socializes with others, causing problems in social interaction and communication. The term "spectrum" in autism spectrum disorder refers to the wide range of symptoms and severity.
Armed with a "deep learning" custom, the NAO child-friendly robot can easily gauge the commitment and interest of each autistic child. The new development can make their life easier.
"The long-term goal is not to create robots that will replace human therapists, but to reinforce them with key information that therapists can use to personalize the content of the therapy and also make more engaging and naturalistic interactions between robots and autistic children, "said Oggi Rudovic, the first author of the study
. children's responses were in agreement with human expert badessments, with a correlation of 60%, according to scientists.
"The Challenge of Creating Machine Learning and AI [artificial intelligence] Orks in autism is particularly irritating because the usual AI methods require a lot of similar data for each In autism, where heterogeneity reigns, normal approaches to AI fail, "says Rosalind Picard, co-author of the study
. robot involves a human therapist showing flash cards of different faces expressing different emotions, such as happiness, sadness, fear and a programmed robot or NAO, which shows the same emotions to the child.
The therapist observes how the child interacts with the robot and gets feedback on how the lesson should be pushed further
NAO a two-foot robot resembling an armored superhero or a droid, which transmits different emotions by changing the co the light of his eyes, the movement of his limbs and the tone of his voice
"The therapists say that engaging the child for a few seconds can be" Humans change their expressions in many ways, but the robots always do it in the same way, which is less frustrating, "said Rudovic
. for the child because the child learns in a very structured way how expressions will be shown. "
In addition to being personalized, the system created by these researchers involves a deep learning powered by AI, automatic speech recognition programs and objects, which makes it well suited to a problem such as understanding the multiple facets of the face, body and voice that help to understand a more abstract concept as the commitment of a child
Learning allows the robot to To directly extract the most important information from these data without humans having to manually shape them, "says Rudovic
For therapeutic robots, a personalized framework could be created from the data collected. PTI CORR MRJ
MRJ
This is an unedited, unformatted feed from the Press Trust of India thread.
[ad_2]Source link
