Abstract
Complicating the daily life style, mental tiredness and the physical fatigue will be trigger factors of human errors and relating to the accident. It has been getting important that a computer knows user's fatigue. Fatigue is the subjective quantity which only the said person can recognize. Therefore, to know the user's fatigue it is necessary to calculate the probability of the causal relation from physiological information such as facial and voice changes observing continuously.
In our prior research, we constructed the models of fatigue based on the Bayesian network using the psychological and physiological data and proposed convergent inference system framework using multiple Bayesian networks based on the ontology and agent technology. In this work, the learning mechanism of a new causal relation was tried to construct from the observation of the disagreement of the expectation by non-continuous process by supervised learning through the question on the reason.
