Real world edutainment focusing on human-human interaction

被引:0
|
作者
Mitsuhara, Hiroyuki [1 ]
Hirakawa, Yasumoto [2 ]
Kanenishi, Kazuhide [3 ]
Yano, Yoneo [1 ]
机构
[1] Univ Tokushima, Inst Sci & Technol, 2-1 Minami Josanjima, Tokushima, Japan
[2] Univ Tokushima, Grad Sch Adv Technol & Sci, Tokushima, Japan
[3] Univ Tokushima, Ctr Adv Informat Technol, Tokushima, Japan
来源
TECHNOLOGIES FOR E-LEARNING AND DIGITAL ENTERTAINMENT, PROCEEDINGS | 2007年 / 4469卷
关键词
edutainment; real world; human-human interaction; fun; ubiquitous computing technology;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Edutainment is a promising approach to motivating students to learn, that is, making learning fun. This paper describes a real world edutainment system that makes learning fun using ubiquitous computing technology. We focus on human-human interaction in the real world as a new approach to edutainment in the next generation. Human actors can teach interactively and flexibly in various ways, by considering players' (students') characteristics and the environmental conditions. Involvement of human actors as active characters of a game story in edutainment is an advantage that conventional edutainment does not currently have.
引用
收藏
页码:527 / +
页数:3
相关论文
共 50 条
  • [41] Perspectives on human-human sensorimotor interactions for the design of rehabilitation robots
    Andrew Sawers
    Lena H Ting
    Journal of NeuroEngineering and Rehabilitation, 11
  • [42] Assessing Human-Human Therapy Kinematics for Retargeting to Human-Robot Therapy
    Johnson, Michelle J.
    Christopher, Seethu M.
    Mohan, Mayumi
    Mendonca, Rochelle
    PROCEEDINGS OF THE IEEE/RAS-EMBS INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR 2015), 2015, : 870 - 875
  • [43] Perspectives on human-human sensorimotor interactions for the design of rehabilitation robots
    Sawers, Andrew
    Ting, Lena H.
    JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2014, 11
  • [44] Small forces that differ with prior motor experience can communicate movement goals during human-human physical interaction
    Andrew Sawers
    Tapomayukh Bhattacharjee
    J. Lucas McKay
    Madeleine E. Hackney
    Charles C. Kemp
    Lena H. Ting
    Journal of NeuroEngineering and Rehabilitation, 14
  • [45] Towards Visual and Vocal Mimicry Recognition in Human-Human Interactions
    Sun, Xiaofan
    Truong, Khiet P.
    Pantic, Maja
    Nijholt, Anton
    2011 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2011, : 367 - 373
  • [46] Editorial: Computational Approaches for Human-Human and Human-Robot Social Interactions
    Beyan, Cigdem
    Murino, Vittorio
    Venture, Gentiane
    Wykowska, Agnieszka
    FRONTIERS IN ROBOTICS AND AI, 2020, 7
  • [47] Small forces that differ with prior motor experience can communicate movement goals during human-human physical interaction
    Sawers, Andrew
    Bhattacharjee, Tapomayukh
    Mckay, J. Lucas
    Hackney, Madeleine E.
    Kemp, Charles C.
    Ting, Lena H.
    JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2017, 14 : 1 - 13
  • [48] AIR-Act2Act: Human-human interaction dataset for teaching non-verbal social behaviors to robots
    Ko, Woo-Ri
    Jang, Minsu
    Lee, Jaeyeon
    Kim, Jaehong
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2021, 40 (4-5) : 691 - 697
  • [49] Understanding Agreement in Giver and Receiver Intentions on Grasp in Human-Human Handover
    Wiederhold, Noah
    Banerjee, Sean
    Banerjee, Natasha Kholgade
    2023 SEVENTH IEEE INTERNATIONAL CONFERENCE ON ROBOTIC COMPUTING, IRC 2023, 2023, : 125 - 126
  • [50] Communication and interferance of intended movement direction during human-human physical interation
    Mojtahedi, Keivan
    Whitsell, Bryan
    Artemiadis, Panagiotis
    Santello, Marco
    FRONTIERS IN NEUROROBOTICS, 2017, 11