Jingqiang Zeng

Papers

Total Citations

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About

Jingqiang Zeng is a rising researcher at the intersection of human-robot interaction (HRI) and gerontechnology, with a focused interest in leveraging robotic systems for cognitive health support. Her work primarily addresses how interactive robots can assist elderly populations, particularly those with Mild Cognitive Impairment (MCI). Her most significant contribution is a comprehensive systematic review that synthesizes the current state of HRI-based cognitive training for older adults, providing a critical roadmap for future interventions. This work has already garnered early attention with 3 citations. Zeng also conducts foundational research into the design of desktop-size robots, exploring how subtle factors like robot behavior and appearance shape human social perception. Her pilot study on social attributes in these compact robots—which are increasingly used in care and education—helps clarify the design principles needed to make them more effective and acceptable companions. By bridging high-level review work with empirical design studies, Zeng is establishing herself as a thoughtful voice in creating socially assistive robots that are both practical and psychologically attuned to the needs of aging users.