Minjung Shin

Papers

Total Citations

H-Index

About

Minjung Shin is a leading researcher at the intersection of human-robot interaction (HRI) and artificial intelligence, with a focus on developing socially intelligent robotic systems for real-world applications. Her work centers on adaptive robot-mediated communication, particularly for vulnerable populations such as older adults. In her highly cited 2025 study, Shin pioneered an adaptive HRI system that integrates a CLOi robot with a large language model (LLM) to conduct real-time satisfaction surveys for personalized healthcare programs—a breakthrough that enhances survey quality and participant engagement. Her earlier 2023 paper on uncertainty-resolving questions for social robots established a foundational framework for enabling robots to proactively seek clarification in unfamiliar environments, a critical capability for autonomous social interaction. With both papers garnering 3 citations each in their respective years, Shin’s contributions are already shaping the next generation of assistive robotics. Her work not only advances technical HRI design but also demonstrates a deep commitment to ethical, user-centered AI, making her a rising voice in the field of socially assistive robotics.