About us
We build evidence-driven projects that connect cognitive science with measurable human behavior and deployable technology. A core theme is understanding and supporting cognitive function (e.g., working memory and executive processes) through reliable, ecologically valid measurement and targeted intervention. To do this, we design immersive VR-based tasks that simulate everyday activities and quantify performance in ways traditional tests often cannot. In parallel, we analyze movement and visuomotor behavior using detailed kinematic features and AI models —including deep neural networks and generative approaches for data augmentation when clinical datasets are limited. More recently, we are expanding into human–robot interaction, where adaptive question generation and LLM-assisted dialogue can reduce uncertainty and improve the quality of survey- and task-based assessments. Together, these projects aim to deliver practical tools and scientific insights for rehabilitation, aging, and digital health—bridging controlled experiments with real-world use.
Principal Investigator 
RYU, Jeh-Kwang
Since @12/14/2019 | Last updated @11/16/2022, 9:53:00 AM