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At a Glance
Researchers developed a prototype app that screens toddlers for autism spectrum disorder by tracking eye movements while showing videos on a tablet or smartphone.
The app could provide an efficient, low-cost option for early detection of autism spectrum disorder.
An eye-tracking app could help make autism screening easier and more widespread. Duke University
The human brain is wired to pay attention to social information like facial expressions, speech, and gestures. Infants learn about the world through these social interactions. Autism spectrum disorder, or ASD, is a developmental disorder that affects communication and behavior. People with ASD can have a hard time engaging in and interpreting social behavior. Symptoms generally appear in the first two years of life.
by Stephanie Lopez April 30, 2021 .
DURHAM – A digital app successfully detected one of the telltale characteristics of autism in young children, suggesting the technology could one day become an inexpensive and scalable early screening tool, researchers at Duke University report.
The research team created the app to assess the eye gaze patterns of children while they watched short, strategically designed movies on an iPhone or iPad, then applied computer vision and machine learning to determine whether the child was looking more often at the human in the video, or objects.
“We know that babies who have autism pay attention to the environment differently and are not paying as much attention to people,” said Geraldine Dawson, Ph.D., director of the Duke Center for Autism and Brain Development, and co-senior author of a study appearing online April 26 in JAMA Pediatrics. Read the paper at this link.
The technology could one day become an inexpensive and scalable early screening tool, the research suggests.
Researchers created the app to assess the eye gaze patterns of children while they watched short, strategically designed movies on an iPhone or iPad, then applied computer vision and machine learning to determine whether the child looked more often at the human in the video, or objects.
“We know that babies who have autism pay attention to the environment differently and are not paying as much attention to people,” says Geraldine Dawson, director of the Duke Center for Autism and Brain Development, and co-senior author of a study in
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DURHAM, N.C. - A digital app successfully detected one of the telltale characteristics of autism in young children, suggesting the technology could one day become an inexpensive and scalable early screening tool, researchers at Duke University report.
The research team created the app to assess the eye gaze patterns of children while they watched short, strategically designed movies on an iPhone or iPad, then applied computer vision and machine learning to determine whether the child was looking more often at the human in the video, or objects. We know that babies who have autism pay attention to the environment differently and are not paying as much attention to people, said Geraldine Dawson, Ph.D., director of the Duke Center for Autism and Brain Development, and co-senior author of a study appearing online April 26 in