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About

Hye-Jin Min is a pioneering researcher in human-robot interaction, with a primary focus on emotion interaction systems for service robots. Her most cited work, "Emotion Interaction System for a Service Robot" (2007, 46 citations), introduces a framework designed to make robots appear as reliable, living assistants rather than mere machines, by enabling them to recognize and express emotions. This foundational contribution has influenced the design of socially interactive robots that can build trust with users in home environments. Min also explores robot storytelling, as seen in her 2013 paper on "Speaker-TTS voice mapping," which aims to create natural and characteristic robot voices for applications in entertainment, education, and rehabilitation—addressing the cost and automation challenges of human-recorded voices. Her additional works on emotional exchange and representing emotions with linguistic acuity further demonstrate her commitment to making robots emotionally intelligent communicators. With a career spanning from the mid-2000s, Min’s research remains relevant for students and researchers interested in affective computing, social robotics, and the integration of emotional AI into everyday life.