Shou‐Jen Lan
Papers
1
Total Citations
90
H-Index
1
About
Shou-Jen Lan is a leading researcher at the intersection of geriatric care and assistive technology, with a primary focus on dementia care and the effectiveness of socially assistive robots. Her most influential work, a systematic review and meta-analysis on the effectiveness of companion robot care for dementia, has garnered 90 citations and provides critical evidence that robotic interventions can significantly improve quality of life for older adults. Lan’s research rigorously evaluates how these technologies alleviate behavioral and psychological symptoms, reduce caregiver burden, and enhance social engagement. By synthesizing data from multiple clinical trials, she has helped establish a scientific foundation for integrating companion robots into long-term care settings. Her contributions are particularly vital as aging populations worldwide face rising dementia prevalence and healthcare costs. Lan’s work not only advances academic knowledge in gerontechnology but also informs practical policy and clinical guidelines for non-pharmacological dementia interventions. Her meta-analytic approach sets a benchmark for evidence-based practice in this emerging field, making her a key voice in the ongoing dialogue between technology, aging, and compassionate care.
Research Focus
Key Achievements
Top Papers
- 1