Shao‐Huan Lan

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About

Shao‐Huan Lan has made significant contributions to the intersection of geriatric care and assistive technology, with a primary focus on dementia interventions and robotic support systems. Her landmark 2021 systematic review and meta-analysis, "Effectiveness of Companion Robot Care for Dementia," has garnered 90 citations, establishing her as a leading voice in evaluating socially assistive robotics for aging populations. This work critically synthesized evidence on how companion robots can alleviate symptoms of dementia and central nervous system degeneration, addressing a pressing public health challenge in aging societies. Lan's research demonstrates that robotic technology can provide meaningful non-pharmacological support, improving patient outcomes while reducing caregiver burden. Her meta-analytic approach set a rigorous standard for evidence-based assessment in this emerging field, influencing subsequent clinical guidelines and technology development. Beyond this flagship study, Lan's broader research portfolio explores human-robot interaction, gerontechnology, and the psychosocial impacts of assistive devices. Her work bridges engineering, neuroscience, and clinical practice, offering practical solutions for dementia care. With growing recognition in both academic and healthcare communities, Lan continues to shape how we integrate compassionate technology into elderly care, making her a pivotal figure in the future of aging and robotics.