CONTINUOUS MULTI-DOMAIN SENSOR FUSION MAINTAINS PROBABILISTIC BELIEFS ABOUT USER STATE INTENT AND CONTEXT. BAYESIAN UPDATES PROPAGATE THROUGH BELIEF NETWORK AS NEW EVIDENCE ARRIVES. CONFIDENCE DISTRIBUTIONS REPRESENT EPISTEMIC UNCERTAINTY ACROSS COMPETING HYPOTHESES.