A Chat Dialogue System that Mimics User Linguistic Characteristics

Abstract

The purpose of this research is to encourage users to engage with chat dialogue systems by making them feel more familiar and natural during interactions. To achieve this, we propose a chat dialogue system that recognizes the characteristics of user utterances and generates responses with similar features. Three elements are considered as the characteristics of user utterances: habitual expressions, politeness, and personal pronouns. By fine-tuning a T5 model on a corpus created from Twitter (X) data, we construct a model that generates response sentences with specified characteristics (habitual expressions and politeness). Furthermore, post-processing is applied to adjust the system's responses to match the personal pronouns used by the user. Evaluation experiments are conducted to investigate the effects of the system's responses, tailored to users' linguistic characteristics, on user engagement and satisfaction.