Stylistic Features that Create Characterization for Chatbots with Character-Based Speech

Abstract

In recent years, chatbots have come to be used in a variety of settings. However, current chatbots generally respond in a uniform manner, and are not able to respond in a diverse manner like humans. One method to solve this problem is to add characterization to chatbots' speech. Although there have been attempts to add characterization to chatbot speech, they do not necessarily reflect the characteristics of actual character speech, and it has not been fully clarified which elements of speech contribute to the development of characterization. Therefore, in this study, we extracted stylistic features of character utterances of "Uma Musume Pretty Derby," which is a popular sales title in the character business. In order to extract features, we compared the speech of the characters with that of ordinary women, targeting frequently occurring words, parts of speech, topics, and sentence-final expressions, in order to extract speech that is unique to the characters. As a result, it became clear that stylistic features corresponding to the setting of each character were found in personal expressions, emotional verbs, and sentence-final expressions with particles and auxiliary verbs.