BRING COMMON GROUND INTO ROBOTICS

Author:

LEE KANGWOO1,HWANG JUNG-HOON2,KWON DONG-SOO3,CHOO HYUNSEUNG4

Affiliation:

1. Intelligent HCI Convergence Research Center, Sungkyunkwan University, 300, Chon-Chon Dong, Jang-Ahn Ku, Suwon, 440-746, Korea

2. Intelligent Robotics Research Center, Korea Electronics Technology Institute, 68 Yatap-Dong, Bundang-Gu, Seongnam, 463-816, Korea

3. Department of ME, Korea Advanced Institute of Science and Technology, Guseong, Yuseong, Daejon, 305-701, Korea

4. Department of Computer Engineering, Sungkyunkwan University, 300, Chon-Chon Dong, Jang-Ahn Ku, Suwon, 440-746, Korea

Abstract

During interpersonal interaction, common ground of our experiences takes an important role to facilitate mutual understanding as well as efficient communication. We introduce the concept of common ground, which has been an important issue in psychology, for developing robotic systems. With the conceptualization of the common ground among human, robot, and environmental objects, a comparative study is carried out between Human Human Interaction (HHI) and Human Robot Interaction (HRI), using paired groups with different expertise in "questioning and answering tasks." For comparison with HHI, the performance of a robot in the task was determined by both its own expertise as well that of its human partner. This indicates that the performance of the robotic system depends on the common ground shared with the human partners, and implies that a robotic system is required not only to be intelligently smart but also to be communicatively smart.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Mechanical Engineering

Cited by 2 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

1. Constructing Perceptual Common Ground Between Human and Robot Through Joint Attention;International Journal of Humanoid Robotics;2017-08-25

2. Logics of Common Ground;Journal of Artificial Intelligence Research;2017-04-25

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