Itir Onal Ertugrul receives NWO SSH XS grant on automated assessment of ADHD

Portrait Itir Onal Ertugrul

Itir Onal Ertugrul has been awarded the NWO SSH Open Competition XS grant for her project "Advancing ADHD Assessment in Children: Behavior Modeling of Parent-Child Interactions".

Itir Onal Ertugrul is an assistant professor at Social and Affective Computing Group, Department of Information and Computing Sciences. Her project "Advancing ADHD Assessment in Children: Behavior Modeling of Parent-Child Interactions" has been awarded the NWO SSH Open Competition XS grant.

Attention-Deficit/Hyperactivity Disorder (ADHD) affects about 8% of children and often continues into adulthood. While many symptoms of ADHD are observable, its assessment frequently relies on subjective reports, leading to potential inconsistencies and biases. Itir aims to develop the first automated system for assessing ADHD in children through video recordings of parent-child interactions. By integrating advanced machine learning techniques to analyze visual, vocal, and verbal behaviors, she will provide an interpretable evaluation. This approach will explore gender-related differences in key behaviors and enhancing the understanding and assessment of ADHD while laying groundwork for future applications in evaluating other neurodevelopmental disorders.

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