Max Robotics — Global Service Robot Directory + US Certification

About

Donghee Shin is a leading researcher in human-robot interaction (HRI), with a particular focus on user acceptance, anthropomorphism, and the social dynamics of autonomous systems. His most-cited work, "Modeling the acceptance of socially interactive robotics" (129 citations), integrates theoretical frameworks to explain how attitudes and intentions shape the adoption of social robots—a foundational contribution to the field. Shin has also explored the role of robot "coolness" in purchase decisions, the impact of anthropomorphism on perceptions of pet robots, and the importance of robot personality in context-specific settings like museums. His research extends to trust in unmanned driving systems and the educational potential of robots, notably in robot-assisted language learning (RALL). By blending psychological models with experimental design, Shin’s work has advanced understanding of how humans perceive, trust, and engage with robotic agents. His studies consistently highlight the interplay between design features—such as color, gender labeling, and personality—and user experience, making his research highly relevant for developers and scholars aiming to create more intuitive, accepted, and effective robotic systems.