Analyzing Post-dialogue Comments by Speakers – How Do Humans Personalize Their Utterances in Dialogue?

Abstract

We have been studying methods to personalize system utterances for users in casual conversations. We know that personalization is important, but no well-established way to personalize system utterances for users has been proposed. In this paper, we report the results of our experiment that examined how humans personalize utterances when speaking to each other in casual conversations. In particular, we elicited post-dialogue comments from speakers and analyzed the comments to determine what they thought about the dialogues while they engaged in them. In addition, by analyzing the effectiveness of their thoughts, we found that dialogue strategies for personalization related to “topic elaboration”, “topic changing” and “tempo” significantly increased the satisfaction with regard to the dialogues.