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.
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.
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.
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.
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.
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.
