Toward Understanding Pedagogical Relationship in Human-Robot Interaction

Author:

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

Abstract

[abstFig src='/00280001/07.jpg' width=""300"" text='Investigating pedagogical relationship' ]This study aims to investigate the behavior of a person who teaches a robot, and the behavior required for the robot to learn from such a person. A robot used for education needs to have a pedagogical relationship, namely, to understand the roles of teacher and learner, and recognize user behavior. In order for a robot to establish a pedagogical relationship with people, it has to understand the characteristic behavior of the person teaching it. Moreover, the robot needs to demonstrate to its “teacher” the characteristic behavior learned from this person. For this purpose, we observe and analyze through case studies the characteristic behavior of a human teacher and the effectiveness of the behavior designed for the robot. The results of the observation and analysis of a situation where a person teaches a robot a game on a tablet device show that, as the robot attempted through trial-and-error to perform the actions learned from the human teacher, the latter became more careful when teaching, and attempted to verify what the robot expressed to show its human teacher how much it understood.

Publisher

Fuji Technology Press Ltd.

Subject

Electrical and Electronic Engineering,General Computer Science

Reference17 articles.

1. J. Han, S. L. Lee, B. Kang, S. Park, J. Kim, M. Kim, and M. Kim, “A trial English class with a teaching assistant robot in elementary school,” Proc. of the 5thACM/IEEE Int. Conf. on Human-Robot Interaction (HRI’10), pp. 335-336, 2010. [10] T. Kanda, T. Hirano, D. Eaton, and H. Ishiguro, “Interactive Robots as Social Partners and Peer Tutors for Children: A Field Trial,” Human-Computer Interaction, Vol.19, No.1, pp. 61-84, 2004. [11] T. Kanda, R. Sato, N. Saiwaki, and H. Ishiguro, “A Two-Month Field Trial in an Elementary School for Long-Term Human-Robot Interaction,” IEEE Trans. on Robotics, Vol.23, No.5, pp. 962-971, 2007. [12] T. Komatsubara, M. Shiomi, T. Kanda, H. Ishiguro, and N. Hagita, “Can a social robot help children’s understanding of science in classrooms?,” Proc. of the 2ndInt. Conf. on Human-Agent Interaction (HAI’14), pp. 83-90, 2014.

2. Z. You, C. Shen, C. Chang, B. Liu, and G. Chen, “A Robot as a Teaching Assistant in an English Class,” Proc. of the 6thIEEE Int. Conf. on Advanced Learning Technologies (ICALT ’06), pp. 87-91, 2006. [20] F. Tanaka and S. Matsuzoe, “Children Teach a Care-Receiving Robot to Promote Their Learning: Field Experiments in a Classroom for Vocabulary Learning,” J. of Human-Robot Interaction, Vol.1, No.1, pp. 78-95, 2012.

3. R. J. Brand, D. A. Baldwin, and L. A. Ashburn, “Evidence for ‘motionese’: modifications in mothers’ infant-directed action,” Developmental Science, Vol.5, No.1. pp. 72-83, 2002. [2] R. J. Brand and W. L. Shallcross, “Infants prefer motionese to adult-directed action,” Developmental Science, Vol.11, No.6. pp. 853-861, 2008.

4. K. Nakadai, K. Hidai, G. H. Okuno, H. Mizoguchi, and H. Kitano, “Real-time Auditory and Visual Multiple-speaker Tracking For Human-robot Interaction,” J. of Robotics and Mechatronics, Vol.14, No.5, pp. 497-505, 2002.

5. K. Suzuki, R. Hikiji, and S. Hashimoto, “Development of an Autonomous Humanoid Robot, iSHA, for Harmonized Human-Machine Environment,” J. of Robotics and Mechatronics, Vol.14, No.5, pp. 479-489, 2002.

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3