Papers
3
Total Citations
15
H-Index
3
About
Soyeon Shin is a pioneering researcher in human-robot interaction, with a focused expertise in developing robotic systems for healthcare environments, particularly during infectious disease outbreaks. Her major contributions center on designing user-centered robots that facilitate non-face-to-face interactions between medical staff and patients, addressing critical challenges in isolation wards and pandemic settings. Shin’s most cited work, "User-centered Exploration of Robot Design for Hospitals in COVID-19 Pandemic" (8 citations), establishes foundational principles for robot interfaces that maintain care quality while reducing infection risks. Her subsequent research on heterogeneous robot-assisted services in isolation wards (4 citations) demonstrates practical system development and usability testing, showing how multiple robot types can alleviate healthcare worker burden. In her study on telepresence robots for isolated patients (3 citations), Shin examines how socio-relationship factors and device types influence patient acceptance, providing actionable insights for telemedicine implementation. Her work uniquely bridges engineering design with psychological acceptance factors, making her research essential for pandemic preparedness and the future of remote healthcare delivery.
Research Focus
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Top Papers
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