Taehyun Rhee

Victoria University of Wellington, University of Southern California

Papers

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About

Taehyun Rhee is a leading researcher in augmented reality (AR) and 3D human body modeling, whose work bridges natural user interfaces with anatomically accurate digital representations. His most significant contribution lies in pioneering voice interaction for AR navigation interfaces, where he integrated natural language understanding (NLU) to enable intuitive, hands-free control of augmented environments. This work, published in 2020 and garnering 10 citations, addresses a critical gap in AR research—while voice interaction had been explored for desktops and robotics, Rhee demonstrated its unique potential for immersive AR experiences, enhancing accessibility and user engagement. Earlier, Rhee developed a groundbreaking system for creating anatomically accurate 3D human body models from in-vivo scans, producing personalized tissue deformation data. This 2008 study, with 2 citations, laid foundational work for applications in medical simulation, ergonomics, and virtual reality. Rhee’s research is notable for its practical impact: his AR voice interaction framework informs next-generation navigation tools, while his body modeling techniques advance personalized digital human representations. His work exemplifies how combining natural language processing with spatial computing can transform user experiences, making him a key figure in human-computer interaction and digital human modeling.