Brief Report: Using a Point-of-View Camera to Measure Eye Gaze in Young Children with Autism Spectrum Disorder During Naturalistic Social Interactions: A Pilot Study.
Strap a cheap point-of-view camera to yourself during play to spot autism-related gaze differences you might miss with a wall camera.
01Research in Context
What this study did
Researchers clipped a tiny camera to the shirt of an adult play partner. The lens pointed forward, so the video shows what the adult sees.
They filmed preschoolers with autism and neurotypical kids during free play. Later, two coders scored where each child looked.
The team compared these PoV clips to footage from a regular wall camera. They checked which view gave cleaner eye-gaze data.
What they found
The PoV camera reached higher agreement between coders. It also caught gaze patterns that the wall camera missed.
Kids with autism looked at faces less often than peers. The PoV view made this difference easier to see.
How this fits with other research
Vernetti et al. (2024) moved the idea forward. They tracked toddler gaze live, face-to-face, and still saw reduced social looking in autism.
Lemons et al. (2015) seems to disagree. They found no group difference in time spent looking at eyes. The key is method: pupillometry in a lab booth versus natural play with a PoV camera. Different settings, different answers.
Falck-Ytter et al. (2015) backs the choice to code by hand. They showed manual scoring keeps more usable data from young kids with autism than automatic eye trackers.
Why it matters
You need clear gaze data to write good social goals. A $30 clip-on camera plus slow-motion playback can give you that clarity in clinic or home sessions. Try it next time you assess joint attention.
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02At a glance
03Original abstract
Children with autism spectrum disorder (ASD) show reduced gaze to social partners. Eye contact during live interactions is often measured using stationary cameras that capture various views of the child, but determining a child's precise gaze target within another's face is nearly impossible. This study compared eye gaze coding derived from stationary cameras to coding derived from a "point-of-view" (PoV) camera on the social partner. Interobserver agreement for gaze targets was higher using PoV cameras relative to stationary cameras. PoV camera codes, but not stationary cameras codes, revealed a difference between gaze targets of children with ASD and typically developing children. PoV cameras may provide a more sensitive method for measuring eye contact in children with ASD during live interactions.
Journal of autism and developmental disorders, 2017 · doi:10.1007/s10803-016-3002-3