Two VR scenarios were built based on cognitive load, and monologues were provided in different voices in each environment. We analyzed how user stress (GSR), preference, and embodiment differed by voice, deriving insights for VR monologue production.
An AI-based VR two-player cooperative game project that started at Xreal, an XR-AI society. Analyzing disposition and relationships based on two users’ conversation, relationship patterns, and interaction data using LLMs. A VR 2-player cooperative game with gamification elements added.
Overall PM for the lab’s Excellent Young Researcher project. Dozens of papers, simulations, and game implementations under the theme “An AI Algorithm and Human-Computer Interaction System for Sensorimotor Skills Modeling, Reconstruction, and Education”.
A VR system to teach tutting to beginners. Expert motion data was collected directly, motion sequences were generated using an LLM with SLERP interpolation, integrated with a haptic device, and scored per motion to provide personalized training content.
An immersive training system with force-feedback haptics for neonatal intubation training. Uses the Inverse3 haptic device to provide the sensation of intubation, with step-by-step training and gamification elements.
Analysis of how AI voice assistant tone affects users in VR. Through a VR treasure hunt game, we analyzed which voice tones users prefer and trust based on their disposition.
We confirmed that cyber sickness was reduced by providing vibrotactile feedback similar to footsteps to the upper body using Tactsuit in VR. Two locomotion environments and scenario environments were built for verification.
Hardware was implemented by attaching Arduino and FSR sensors to the board, and a snowboard system was built by integrating it with a VR environment. Using CoP (Center of Pressure) as a performance metric, we selected appropriate haptic feedback positions for balance improvement.
Wood carving and rubber plate printing were reproduced using the Inverse3 force feedback device. We compared and analyzed appropriate learning methods (interference, guidance) through user experiments.
A training program for improving seniors’ cognitive abilities, implemented as a Serious game with Haptic Glove and VR. Three games suited for cognitive improvement, built in VR with hand tracking and haptic feedback.
An end-to-end ASR feedback system for pronunciation learning. Uses IPA conversion to recognize pronunciation as spoken and provide feedback.
Entry for the Super Hackathon co-hosted by Like Lion and Nexon. A simulation game centered on NPC interaction content built with MapleStory IP assets.
A personality quiz and mobile game recommendation website to promote Sentience Inc.’s TenToPlay API. Uses TenToPlay’s persona to classify users and recommend mobile games by type for tailored game analysis.
A barrier-free app to support safe mobility for transportation-disadvantaged users. Provides information and locations of amenities and hazardous areas, with features such as hazard reporting and emergency calls to reduce accidents caused by lack of information.
Capstone design project with Everkus Inc. Development of an AI model for optimal inventory management to predict shipment volume and safety stock, aimed at reducing unnecessary inventory for small businesses.
An educational support app for teaching cued speech, one of the communication methods for the deaf and hard of hearing. Produces videos with phonetic symbols, sound, mouth shapes, and images to support cued speech training, pronunciation correction, and language learning.
