An Analysis of Human-Agent communication in Twitter

Abstract

In this paper, we create a non-task-oriented dialogue agent \KELDIC" on Twitter, and anlyze communication between the agent and twitter users. On twitter, users can react to tweets from others in three ways, reply, adding to favorite and retweet. From the point of view of user reactions to KELDIC's tweets, we demonstrate statistical features of users' behaviour. The result of analysis indicates the possibility of quantitative evaluation of dialogue agents using users' reaction.