A physiology-driven cognitive system based on mechanistic neurological models, in which emotions and physiological drives dynamically coexist and compete through a subconscious–conscious selection process.
It learns individual affective sensitivities and adapts actions and interaction to regulate emotional trajectories toward customizable target states, prioritizing emotional and physiological regulation over external physical objectives.
We develop physiology-driven cognitive systems grounded in mechanistic neuron–glia models, where emotions and physiological drives dynamically interact through subconscious and conscious regulatory processes. These models learn individual affective sensitivities and adapt interactions to explore how emotional trajectories evolve toward configurable target states.
Built on this foundation, our digital human avatars and virtual agents leverage multi-scale physiological models of cognition to realistically simulate emotional and behavioral dynamics. Expressed through lifelike muscle–skeletal avatars with condition-specific facial expressions and body language, the platform supports research, simulation, and professional training by enabling reproducible human–AI interaction, scenario exploration, and quantitative evaluation of behavioral and communication strategies.
An immersive experience platform based on physiological models of emotion-driven cognition, where perception, attention, memory, and decision-making emerge from coupled emotional and physiological processes. Emotional states influence perception and interpretation, shaping responses in a coherent and context-dependent manner. The system adapts continuously to user engagement, learning how interaction modulates internal states over time.
With our INTER-ART application, colors, sounds, aromas, and tastes are converted into evolving artistic images, light, and color compositions, allowing users' emotional and physiological responses to shape the artistic environment.
In our E-nologo interface, the system models how internal states influence sensory perception and decision-making in wine tasting scenarios, enhancing learning, attention, and appreciation through adaptive, biologically inspired interactions.
