Shayne Lin

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About

Shayne Lin is a leading researcher in human–robot interaction and assistive robotics, with a particular focus on designing socially aware systems for elderly care. Her most influential work, “Social Robots and Seniors: A Comparative Study on the Influence of Dynamic Social Features on Human–Robot Interaction” (85 citations), demonstrates how adaptive social behaviors—such as gaze, gesture, and speech timing—can significantly improve engagement and trust between older adults and robotic companions. This research has shaped the design of more empathetic, responsive assistive robots for aging populations. Lin also contributed to autonomous search and rescue in indoor environments with her paper “Robot Evidence Based Search for a Dynamic User in an Indoor Environment,” where she developed a novel evidence-based planner that enables a mobile robot to efficiently locate a moving person by reasoning over household clues. Her work bridges robotics, cognitive science, and gerontechnology, earning her recognition as a rising voice in socially assistive robotics. Lin’s research continues to influence how robots can become intuitive, caring partners in everyday life.