Xiaoling Xiang
Papers
1
Total Citations
44
H-Index
1
About
Xiaoling Xiang is a leading researcher at the intersection of gerontology, social work, and artificial intelligence. Her work focuses on leveraging AI-driven technologies to address critical challenges facing older adults, particularly social isolation and mental health. In her highly cited systematic review, "AI Applications to Reduce Loneliness Among Older Adults" (2025, 44 citations), Xiang provides a comprehensive analysis of how AI tools—from conversational agents to sensor-based monitoring—can be effectively deployed to combat loneliness. This work not only synthesizes current technological capabilities but also critically evaluates their real-world effectiveness, offering a roadmap for future interventions. Xiang's contributions are pivotal in shaping how behavioral health technologies can be ethically and practically integrated into aging care. Her research has significant implications for policy and practice, highlighting both the promise and the limitations of AI in enhancing quality of life for older populations. Through her rigorous scholarship, Xiang is helping to bridge the gap between cutting-edge technology and compassionate, evidence-based care for one of society's most vulnerable groups.
Research Focus
Key Achievements
Top Papers
- 1