Abstract
In this research, we propose a developmental learning mechanism for social interaction of robot with human. We focus on face-to-face interaction between a caregiver and an infant, and try to produce a stochastic model for obtaining social skills based on information theory. Previous studies proposed a mechanism based on transfer entropy [1] in simulation and real time robot implementation, and show how robot can acquire social skill like joint attention with caregiver, or can develop its behavior. However, their method was too time consuming especially for real time implementation or couldn't develop its social behavior when it was implemented in real world robot. We compare our new model with previous method and show how it can evaluate the existing contingency based on the experiences of the robot during interaction, in short time period which feasible for implementing in real word robot and how it can develop its acquired skills.
