Research
Our research focuses on perception, embodiment, shared systems, and adaptive interfaces. We work with research institutions and universities worldwide to turn experimental thinking into usable, cutting-edge systems.
Research Themes
Theme 01
How environments can respond to attention, task demands, and changing user state. We study perception as a dynamic loop between sensing, inference, and interface adaptation.
Adaptive XR systems can modulate pacing, atmosphere, and guidance based on how perception changes over time.
Theme 02
We investigate how people can align attention, action, and understanding across distance. The emphasis is not only on communication, but on enabling a common perceptual frame.
Shared gaze, gesture, and spatial context make collaboration feel less like explanation and more like joint perception.
Theme 03
Interaction is shaped by posture, movement, timing, and presence. We explore interfaces that treat the body not as input alone, but as the site where meaning and feedback are formed.
Embodied interaction research asks how systems can become more legible, expressive, and responsive through movement.
Theme 04
Signals such as breathing, arousal, comfort, and stress can become part of the interface itself. This direction studies when physiological measures can support adaptation without overwhelming users.
Physiological computing reframes the interface as something that can sense and respond to internal state, not just explicit commands.
Theme 05
We study interfaces that infer context, coordinate across modalities, and adapt to users in real time. Intelligence here is not decoration, but the structure that makes complex systems usable.
Intelligent interfaces connect sensing, representation, and action so the system can respond in context rather than through static flows.
How We Work
Our approach moves from observing human and system signals to building interfaces that can respond, coordinate, and evolve in context.
Capture signals from users, environments, and interactions to understand what is happening in context.
Turn raw signals into interpretable metrics that can support comparison, evaluation, and system design.
Make attention, state, or spatial context legible across people, devices, and viewpoints.
Use those insights to change pacing, guidance, representation, or behavior in real time.
Selected Outputs
Adaptive Perception
Mixed reality transitions shaped by breathing, comfort, and perceptual pacing.
Shared Systems
A framework for aligning gaze, gesture, and spatial context across collaborators.
Physiological Computing
An embodied mixed reality system informed by physiological state and adaptive recommendation.
In Collaboration With Research And Industry Partners
Ongoing work is shaped through academic collaboration, lab partnerships, and applied research contexts.
Notes
Mixed reality collaboration through shared attention, gaze, and action.
A comprehensive look at the smartglasses market in 2026 — from AI-powered audio frames to full 6-DoF spatial AR — and what developers and businesses need to know.
How we used Copilot to build a complete workshop collaboration platform in 2 days!