Analysis of the Relationship between Utterance Features and Personality Impressions in Chat Dialogues and its Application to Dialogue System

Abstract

We conducted an experiment in which personality traits of speakers are inferred using a chat dialogue corpus between human and a chatbot. We analyzed the relationship between the personality impressions obtained in the experiment and various utterance features including the frequency of occurrence of certain categories of vocabulary and the rate of occurrence of dialogue acts. In order to realize a dialogue system with personality, we constructed a Transformer model for response generation in chat dialogues using this corpus as training data, and conducted experiments on the reproducibility of personality.