Tania Yu

Papers

Total Citations

100

H-Index

About

Tania Yu is a leading researcher in human-robot interaction and healthcare coordination, with a particular focus on how clinicians trust and rely on robotic decision support systems. Her groundbreaking work investigates the critical dynamics between embodied agents and medical professionals, especially in high-stakes environments like labor and delivery floors. In her most cited paper (2018, 73 citations), Yu demonstrated that robotic suggestions can engender inappropriate degrees of trust and reliance among nurses and doctors, raising essential questions about patient safety and clinical judgment. Her earlier foundational study (2016, 27 citations) laid the groundwork for understanding these trust dynamics, highlighting the potential risks of over-dependence on robotic assistance in patient care coordination. Yu’s research bridges artificial intelligence, cognitive psychology, and medical ethics, offering vital insights for designing safer, more transparent robotic systems in healthcare. Her work has significant implications for the future of collaborative human-robot teams in clinical settings, making her a key voice in debates about automation, trust, and the responsible integration of AI into medicine.