Human-Robots Implicit Communication based on Dialogue between Robots using Automatic Generation of Funny Scenarios from Web

Abstract

Numerous studies have examined communication robots that communicate with people, but it is difficult for robots to communicate with people smoothly. We call the communication style based on dialogue between robots as implicit communication. As described herein, we propose a Manzai-robots for which the interaction style is human-robot implicit communication based on an automatically generated scenario from web news. Our generated Manzai scenario consists of snappy patter and a misunderstanding of dialogue based on the four kinds of gap of structure of funny points. Our purpose is that people feel familiarity from smoothly human-robot communication using dialogue between robots based on a Manzai scenario. We conducted experiment of three kinds to assess (1) the effectiveness of automatic creation of Manzai scenario for the robots, (2) the effectiveness of the Manzai-robots as a media, and (3) the effectiveness of types of familiarity for Manzai-robots. Based on their results, we measured the familiarity and smooth communication of our Manzai-robots.