Xinyan Jiang

Papers

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About

Xinyan Jiang is a pioneering researcher at the intersection of artificial intelligence, human-computer interaction, and gerontechnology. Her work focuses on developing AI-driven systems to enhance the mental health and well-being of older adults, a rapidly growing demographic often underserved by technology. In her most-cited paper, "Harmonizing Emotions: An AI-Driven Sound Therapy System Design for Enhancing Mental Health of Older Adults" (2024), Jiang introduces a novel, personalized sound therapy framework that leverages machine learning to adapt auditory stimuli in real time, targeting emotional regulation and cognitive engagement. This contribution has already garnered 26 citations, signaling its immediate impact on the fields of affective computing and digital therapeutics. By integrating principles of music therapy with adaptive AI, Jiang’s research offers a scalable, non-invasive intervention for addressing loneliness, anxiety, and depression in aging populations—a critical public health challenge. Her work stands out for its human-centered design, bridging technical innovation with compassionate application. As an emerging voice in her field, Xinyan Jiang is shaping the future of AI-assisted mental health care, demonstrating how technology can foster emotional resilience and improve quality of life for older adults.