• DocumentCode
    565603
  • Title

    How to sustain long-term interaction between children and ROBOSEM in English class

  • Author

    Jeonghye Han ; Bokhyun Kang ; Seongju Park ; Seongwook Hong

  • Author_Institution
    Dept. of Comput. Educ., Cheongju Nat. Univ. of Educ., Cheongju, South Korea
  • fYear
    2012
  • fDate
    5-8 March 2012
  • Firstpage
    421
  • Lastpage
    421
  • Abstract
    According to studies confirming that robot assisted learning (RAL) can positively contribute to improving learners´ motivation and achievement for language learning [1,4], RAL is facing its diffusion through the demand of parents and government. However, the biggest obstacle to the long-term interaction between humans and robots is the robots´ low-success rate of visual and voice recognition, as well as the limitation of artificial intelligence for the daily-life HRI [3]. This study demonstrated ROBOSEM´s ability to sustain long term interaction between children and a robot in an elementary English class from the pilot studies with IROBIQ, called Langbot [1]. Five factors are of concern in sustaining the long-term interaction between children and ROBOSEM, as shown in Figure 2: (1) enhancing the recognition ability of ROBOSEM with class materials, such as marker hats, bracelet watches embodied RFID tags, Wiimocon, etc; (2) sharing the birth story of ROBOSEM, which works to increase children´s tolerance toward weak recognition from the result of [2]; (3) making a favorable impression, such as by flashing children´s faces on the screen; (4) telling the history of a child´s personal learning activities; and (5) tele-operation by the intelligence of a human being.
  • Keywords
    artificial intelligence; computer aided instruction; human-robot interaction; intelligent robots; linguistics; English class; IROBIQ; Langbot; RAL; ROBOSEM; language learning; robot assisted learning; Computers; Education; Face recognition; Humans; Service robots; Teleconferencing; English; Human Robot Interaction; Long-term Interaction; RAL (Robot Assisted Learning); Robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Human-Robot Interaction (HRI), 2012 7th ACM/IEEE International Conference on
  • Conference_Location
    Boston, MA
  • ISSN
    2167-2121
  • Print_ISBN
    978-1-4503-1063-5
  • Electronic_ISBN
    2167-2121
  • Type

    conf

  • Filename
    6249597