Taemoon Jeong

Papers

Total Citations

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About

Taemoon Jeong is a rising researcher at the intersection of human-robot interaction, social robotics, and persona-driven AI systems. Their work focuses on bridging the gap between virtual conversational agents and physical robotic embodiments, with a particular emphasis on embedding dynamic, character-like personas into interactive robots to enhance audience engagement and social presence. Jeong’s most notable contribution is the development of the Masquerading Animated Social Kinematic (MASK) system, a novel framework that extends persona-driven dialog agents from the digital domain into the physical world. This work, published in 2024, introduces a robotic platform capable of adopting and expressing distinct personalities in real-time, enabling more natural and compelling human-robot interactions. While still early in their career, Jeong’s research has already garnered attention, with their flagship paper accumulating 3 citations and laying the groundwork for future explorations in animatronic social agents. Their innovative approach to blending animation principles with robotic kinematics positions them as a promising voice in the next generation of socially intelligent robotics, with potential applications in entertainment, education, and therapeutic settings.