Sung Bum Kim

Papers

Total Citations

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About

Sung Bum Kim is a researcher at the intersection of human-robot interaction and cognitive health, with a focused interest in leveraging robotic systems for neurodevelopmental screening. His most cited work, "Exploring the Performance Difference on the Active Based Task with a Robot for ADHD Screening" (2018), introduces a novel approach to assessing attention-deficit/hyperactivity disorder (ADHD) by comparing human performance on active tasks guided by a robot versus traditional methods. This study, with 2 citations, lays early groundwork for using socially assistive robots as objective, engaging tools in clinical diagnostics, potentially reducing reliance on subjective reports. Kim’s contribution lies in bridging robotics and pediatric psychiatry, proposing that robot-mediated tasks can capture subtle behavioral differences in attention and impulsivity. While his citation count is modest, his work represents a pioneering step toward non-invasive, interactive screening technologies. For students and researchers exploring the future of AI in healthcare, Kim’s research offers a compelling glimpse into how robots might transform early detection of cognitive disorders, making assessments more accessible and child-friendly. His efforts highlight the promise of interdisciplinary innovation in mental health.