Building pedagogical relationships between humans and robots in natural interactions

Hirofumi Okazaki, Komei Hasegawa, Yusuke Kanai, Kentaro Ishii, Masa Ogata, Michita Imai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The purpose of our study is to investigate human teaching behavior and robot learning behavior when a human teaches a robot. Agents for learning support need to build a pedagogical relationship, in which a teacher agent and a student agent change their behaviors as they recognize the other's characteristic behaviors. In order to investigate how a robot that behaves as a student should respond to humans' teaching behaviors in a pedagogical relationship between human and robot, we conducted a case study using a game played on a tablet with a robot. In the case study, we analyzed how humans changed their teaching behaviors when the humanoid robot failed to understand what they taught. From the results of this case study, we observed that some subjects carefully taught the robot in each trial in order to allow the robot to understand the subjects. Moreover, we also observed that subjects' teaching behavior changed when the subject received feedback from the robot about the teaching.

Original languageEnglish
Title of host publicationHAI 2015 - Proceedings of the 3rd International Conference on Human-Agent Interaction
PublisherAssociation for Computing Machinery, Inc
Pages115-120
Number of pages6
ISBN (Electronic)9781450335270
DOIs
Publication statusPublished - 2015 Oct 21
Event3rd International Conference on Human-Agent Interaction, HAI 2015 - Daegu, Korea, Republic of
Duration: 2015 Oct 212015 Oct 24

Publication series

NameHAI 2015 - Proceedings of the 3rd International Conference on Human-Agent Interaction

Other

Other3rd International Conference on Human-Agent Interaction, HAI 2015
Country/TerritoryKorea, Republic of
CityDaegu
Period15/10/2115/10/24

Keywords

  • Human-Robot Interaction
  • Natural Interaction
  • Pedagogical Relationship
  • Robot Education

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Artificial Intelligence
  • Software

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