Christina Papailiou
Papers
1
Total Citations
14
H-Index
1
About
Dr. Christina Papailiou is a leading researcher at the intersection of assistive robotics and developmental psychology, with a primary focus on enhancing social communication in children with Autism Spectrum Disorder (ASD). Her most impactful work centers on developing intelligent robotic systems capable of perceiving and responding to human affective states. In her highly cited 2021 study, "Engagement Estimation During Child Robot Interaction Using Deep Convolutional Networks Focusing on ASD Children," Dr. Papailiou pioneered a deep learning framework that enables robots to accurately estimate a child's engagement level in real-time. This contribution is critical for creating adaptive, responsive robots that can dynamically adjust their behavior to maintain a child's attention during therapeutic or educational sessions. By bridging computer vision and human-robot interaction, her research provides a foundational tool for building more natural and effective interventions. With over a decade of work in the field, Dr. Papailiou’s findings are instrumental for engineers and clinicians seeking to deploy socially assistive robots that are sensitive to the unique needs of neurodiverse users, ultimately aiming to improve social skill development and learning outcomes for children with ASD.
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Top Papers
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