Yuxin Han

Papers

Total Citations

H-Index

About

Dr. Yuxin Han is a pioneering researcher in human-robot interaction, with a focus on how social feedback and communication dynamics shape collaborative task performance. Her most cited work, "Robotic Social Feedback for Object Specification" (2015), investigates how robots can effectively issue and follow instructions by monitoring human partners’ states and responding conversationally—a principle drawn from human-human collaboration studies. This research demonstrates that integrating real-time social cues into robotic systems significantly improves instruction accuracy, laying groundwork for more intuitive human-robot teamwork. While her citation count (2) reflects the niche, foundational nature of this early contribution, the work has informed subsequent studies on adaptive robotic communication and shared understanding in collaborative settings. Dr. Han’s contributions are particularly notable for bridging insights from social psychology and robotics, emphasizing that effective collaboration requires robots to not only execute commands but also engage in dynamic, feedback-driven exchanges. Her research remains relevant for students and engineers designing robots for manufacturing, healthcare, and service environments where seamless human-robot cooperation is critical.