Papers
8
Total Citations
272
H-Index
6
About
Ke Chen is a leading researcher at the intersection of gerontechnology, human-robot interaction, and aging care, with a particular focus on how older adults and care workers engage with emerging technologies. His work has made significant contributions to understanding technology acceptance among vulnerable populations, most notably individuals living with dementia. His highly cited 2020 study on social robot engagement and technology acceptance among older people with dementia (101 citations) broke new ground by demonstrating how sustained robot interaction shapes attitudes over time, while a companion study examining humanoid robots' effects on dementia symptoms and caregiver distress (68 citations) highlighted the therapeutic potential of social robotics in long-term care settings. Chen has also explored gerontechnology's role during the COVID-19 pandemic, advancing scholarship on digital resilience among aging populations. More recently, his research has expanded into robotic exoskeletons, care worker burnout, and the nuanced psychological mechanisms underlying robot trust and acceptance, including how attributing mental capacities to robots influences older adults' perceptions. With over 270 cumulative citations, Chen's scholarship is shaping both policy and practice in elder care technology, offering invaluable insights for researchers, clinicians, and designers working to create more humane and effective aging environments.
Research Focus
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