A Dialogue System for Modeling User’s Opinion Using Social Models

Abstract

The purpose of this research is to develop a dialogue system that models user opinions in daily dialogue. Modeling the user's opinion is important to increase the user's dialogue satisfaction. In this research, we use a model that abstracts the opinions of multiple people (social opinion model) to model the opinions of users, and model the opinions of individuals from the viewpoint of mutual correspondence and differences. We also realized a dialogue that updates the social opinion model from the individual opinion model is also realized. As a method of constructing a social opinion model, an individual opinion model is abstracted from multiple viewpoints (what, where, who, how). This makes it possible to generate various social models. First, we analyzed the opinion data collected in advance and extracted the social model. As a result, it was confirmed that a social model that is referred to in dialogue from a specific viewpoint can be constructed. Next, based on this, we examined a dialogue strategy that models both the social model and the individual model. Specifically, we explored dialogue strategies when there are multiple social opinion models, and rules for updating social models from individual models acquired through dialogue.