Ho Jung Lee has been selected for an Honorable Mention in the 2025 Master’s Thesis Award by the Korean Computer Graphics Society (KCGS). Lee is actively conducting research in the fields of Virtual Reality (VR) and Human-Computer Interaction (HCI), with a particular focus on locomotion techniques that overcome the limitations of physical space—namely, strategies related to Redirected Walking (RDW), such as reset and redirection methods.
He proposed MARR, a reinforcement learning-based resetter that learns optimal reset directions in multi-user environments, and developed the Selective Redirection Controller (SRC), a reinforcement learning model that adaptively applies the most suitable redirection technique based on the user's surrounding environment. In addition, he designed a multimodal reset user interface that combines visual and auditory cues to effectively enhance the user experience.
Based on these research outcomes, Lee authored a total of three papers, all of which were published in IEEE Transactions on Visualization and Computer Graphics (TVCG) and presented at IEEE VR and IEEE ISMAR. One of these papers received the Best Paper Award at IEEE VR 2024.