Consideration for Speaker Expression Model based on Listener Interpretation Models

Abstract

Social Robots are growing in plurality. Therefore, We need to take into consideration that the human operating the robot may be a caregiver or other unskilled operator when we design our service robots. In recent years, (Conversational Agents: CA) is received attention from many domains. The problem is that these systems cannot estimate the details of the speaker’s expression. In a previous study, we proposed estimating intent in more detail. However, many issues remain in the speaker prediction model that needs to address. Therefore in this paper, We perform the experiment to investigate the relationship between speaker expression and listener prediction intention. Results suggested that listeners rated each speaker individually.