• DocumentCode
    1637677
  • Title

    Providing tablets as collaborative-task workspace for human-robot interaction

  • Author

    Hae Won Park ; Howard, Alex

  • Author_Institution
    Human-Autom. Syst. Lab., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2013
  • Firstpage
    207
  • Lastpage
    208
  • Abstract
    In a recent conference on assistive technology in special education and rehabilitation, over 54 percentage of the sessions were directly or indirectly involved with tablets. Following this trend, many traditional assistive technologies are now transitioning from standalone devices into apps on mobile devices. As such, this paper follows this trend by discussing transforming a tablet into an HRI research platform where our robotic system engages the user in social interaction by learning how to operate a given app (task) using guidance from the user. The objective is to engage the robot within the context of the user´s task by understanding the task´s underlying rules and structures. An overview of the HRI toolkit is presented and a knowledge-based approach in modeling a task is discussed where previously learned cases are reused to solve a new problem.
  • Keywords
    control engineering computing; human-robot interaction; learning (artificial intelligence); learning systems; mobile computing; notebook computers; task analysis; HRI research platform; HRI toolkit; assistive technology; case learning; collaborative-task workspace; human-robot interaction; knowledge-based approach; mobile device apps; rehabilitation; robotic system; social interaction; special education; standalone devices; task structure; task underlying rules; user guidance; user task; Cognition; Context; Databases; Education; Knowledge based systems; Robot sensing systems; Collaborative HRI toolkit; case-based reasoning; tablet shared workspace; task learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Human-Robot Interaction (HRI), 2013 8th ACM/IEEE International Conference on
  • Conference_Location
    Tokyo
  • ISSN
    2167-2121
  • Print_ISBN
    978-1-4673-3099-2
  • Electronic_ISBN
    2167-2121
  • Type

    conf

  • DOI
    10.1109/HRI.2013.6483574
  • Filename
    6483574