In contemporary neuroscience, emotion is understood as a high-level estimate the brain constructs rather than a simple reaction.
Within predictive-processing models, the brain continuously anticipates the causes of its sensory inputs, including signals from within the body such as muscle tension, motor control, breathing rhythms, and autonomic activity.
These signals are compared against learned patterns and interpreted in context, producing experiences such as fear, safety, excitement, or calm. These constructed emotional states then shape attention, decision-making, and action.
nx10 builds on this foundation: we have proven that subtle interaction patterns (kinematics) can reflect meaningful shifts in how an experience is going for someone.