Minwoo Seong
Papers
1
Total Citations
16
H-Index
1
About
Dr. Minwoo Seong is a leading researcher at the intersection of human-computer interaction, affective computing, and assistive technology for neurodevelopmental disorders. His primary focus is on developing intelligent systems that can sense, recognize, and respond to human engagement, with a particular emphasis on supporting children with Autism Spectrum Disorder (ASD). His most cited work, "Engagnition: A multi-dimensional dataset for engagement recognition of children with autism spectrum disorder" (2024, 16 citations), represents a foundational contribution to the field. This dataset provides a rich, multi-modal resource for training machine learning models to automatically detect subtle engagement cues in children with ASD, a critical step toward creating adaptive, interactive technologies that can sustain and improve cognitive and motor development. By bridging the gap between sensing technology and therapeutic intervention, Seong’s work enables the design of engaging, multi-sensory environments that respond dynamically to a child’s state. His research is not only technically rigorous but also deeply human-centered, offering practical tools for clinicians, educators, and families. Through this pioneering dataset and his broader work, Seong is helping to shape a future where technology can actively support the developmental needs of vulnerable populations.
Research Focus
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Top Papers
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