Chunlan Wang
Papers
1
Total Citations
26
H-Index
1
About
Chunlan Wang is a pioneering researcher at the intersection of artificial intelligence, mental health technology, and gerontechnology. Her work focuses on developing AI-driven interventions to enhance the well-being of older adults, with a particular emphasis on non-pharmacological approaches to emotional regulation and cognitive health. Wang’s most-cited paper, "Harmonizing Emotions: An AI-Driven Sound Therapy System Design for Enhancing Mental Health of Older Adults" (2024), has already garnered 26 citations—a remarkable achievement for a recent publication. This study introduces a novel, personalized sound therapy system that leverages machine learning to adapt auditory stimuli in real-time, targeting anxiety, depression, and loneliness in aging populations. By integrating principles of affective computing and human-centered design, Wang demonstrates how technology can bridge gaps in traditional mental health care. Her work not only advances the field of AI in healthcare but also provides scalable, accessible solutions for an increasingly aging global society. Wang’s contributions are particularly notable for their translational impact, offering a blueprint for future digital therapeutics that prioritize emotional harmony and quality of life.
Research Focus
Key Achievements
Top Papers
- 1