Design of a communication system that can predict situations of an absentee using its behavior log

Abstract

We designed a communication system that can predict the current situation of an absentee on the basis of its behavior log and provide some communication tools suitable for the situation to a visitor. An operative evaluation revealed that the proposed system could predict user situations with high accuracy. Further, it can output the expected values in short terms by calculating the feedback values to the possibility table with our Bayesian network. Furthermore, the proposed system has realized the communication suitable for a situation and for information sharing including prediction by using the current information and communication technology.