Construction of Decision Model for a System to Start Communicating with a Human Using Hidden Markov Model

The purpose of this paper is to develop a robot that actively communicates with a human, and extracts information from the human mind that is rarely expressed as verbal information explicitly. The spoken dialogue system for information collection must independently decide whether it may or may not start communicating with a human. In this paper, we assume that the system starts to communicate with a human sitting at a desk, analyze the relationship between the human's behavioral pattern and the decisions made by the other subjects, i.e., whether or not to communicate with the human, and construct the decision model for the system to start communicating with the human using hidden Markov model.