Bayesian network modeling of operator's intent inference

Abstract

While human ability has not changed within limitations, machine systems have become more complicated. Humans, therefore, developed automation systems, but this caused human errors in some situations. We need the intent inference method in order to solve these problems because intent inference is an important element of proposing system information optimally. In this paper, we propose an intent inference method. Our model contains intent inference using the whole recognition process and we use a Bayesian network (BN) as inference engine. We conducted experiments and extracted knowledge that is needed to construct BN and compare this result with the simulation result.