Emotion predicting method based on emotion state change of personae according to the other´s utterances

It is a very difficult task for a dialogue system or robot to predict other´s emotion considering course of dialogue, although it is natural task for human. We thought that human emotion changes at all times during having a conversation and these changes are caused to our internal emotional state by responding to stimulus from external world. Most recent researches on dialogue system were focusing on superficial feature of utterance aiming to the application for question-answering system, thus, they rarely considered internal emotional state and stimulus from external world. In this paper, we focused on the dialogue sentences in a drama script. By making various annotations that were considered useful to analyze the course of dialogue and the relationships among the characters, we constructed a scenario emotion corpus. We studied how the emotion of a character changes responding to the other character´s utterances or emotions by analyzing this corpus. We proposed a method based on the emotion predicting weight to predict the other character´s emotional transition from the target character´s emotion. As the result of an evaluation experiment, the effectiveness of the proposed method was confirmed.