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Eye Tracking Young Children with Autism
Author(s) -
Noah J. Sasson,
Jed T. Elison
Publication year - 2012
Publication title -
journal of visualized experiments
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.596
H-Index - 91
ISSN - 1940-087X
DOI - 10.3791/3675
Subject(s) - eye tracking , autism spectrum disorder , autism , psychosocial , tracking (education) , psychology , task (project management) , perception , gaze , developmental psychology , cognitive psychology , psychiatry , computer science , neuroscience , artificial intelligence , pedagogy , management , psychoanalysis , economics
The rise of accessible commercial eye-tracking systems has fueled a rapid increase in their use in psychological and psychiatric research. By providing a direct, detailed and objective measure of gaze behavior, eye-tracking has become a valuable tool for examining abnormal perceptual strategies in clinical populations and has been used to identify disorder-specific characteristics, promote early identification, and inform treatment. In particular, investigators of autism spectrum disorders (ASD) have benefited from integrating eye-tracking into their research paradigms. Eye-tracking has largely been used in these studies to reveal mechanisms underlying impaired task performance and abnormal brain functioning, particularly during the processing of social information. While older children and adults with ASD comprise the preponderance of research in this area, eye-tracking may be especially useful for studying young children with the disorder as it offers a non-invasive tool for assessing and quantifying early-emerging developmental abnormalities. Implementing eye-tracking with young children with ASD, however, is associated with a number of unique challenges, including issues with compliant behavior resulting from specific task demands and disorder-related psychosocial considerations. In this protocol, we detail methodological considerations for optimizing research design, data acquisition and psychometric analysis while eye-tracking young children with ASD. The provided recommendations are also designed to be more broadly applicable for eye-tracking children with other developmental disabilities. By offering guidelines for best practices in these areas based upon lessons derived from our own work, we hope to help other investigators make sound research design and analysis choices while avoiding common pitfalls that can compromise data acquisition while eye-tracking young children with ASD or other developmental difficulties.

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