Sun Ju Chang

Papers

Total Citations

H-Index

About

Sun Ju Chang is a leading researcher at the intersection of gerontology and artificial intelligence, with a primary focus on leveraging technology to improve psychological health in aging populations. Her most impactful work includes a highly cited 2024 systematic review examining the effectiveness of AI robot interventions on the mental well-being of community-dwelling older adults. This seminal paper, which has already garnered 8 citations shortly after publication, synthesizes evidence on how robotic and AI-driven tools can alleviate the growing burden of elderly care in an aging society. Chang’s contributions are particularly notable for bridging the gap between cutting-edge AI technology and practical, community-based geriatric care. By rigorously evaluating the psychological outcomes of robot-assisted interventions, she provides critical insights for healthcare providers, policymakers, and technologists seeking scalable solutions to support independent living and emotional health among seniors. Her work stands out for its timely relevance, addressing the urgent global challenge of demographic aging through evidence-based, human-centered technological innovation. Chang’s research continues to shape how AI can be ethically and effectively deployed to enhance quality of life for older adults.