• DocumentCode
    3694987
  • Title

    Response prompting for intelligent robot instruction of students with intellectual disabilities

  • Author

    Christopher Reardon;Hao Zhang;Rachel Wright;Lynne E. Parker

  • Author_Institution
    Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996, USA
  • fYear
    2015
  • Firstpage
    784
  • Lastpage
    790
  • Abstract
    Instruction of students with intellectual disability (ID) presents both unique challenges and a compelling opportunity for socially embedded robots to empower an important group in our population. We propose the creation of an autonomous, intelligent robot instructor (IRI) to teach socially valid life skills to students with ID. We present the construction of a complete IRI system for this purpose. Experimental results show the IRI is capable of teaching a non-trivial life skill to students with ID, and participants feel interaction with the IRI is beneficial.
  • Keywords
    "Education","Decision making","Intelligent robots","Robot sensing systems","Object tracking","Electrical engineering"
  • Publisher
    ieee
  • Conference_Titel
    Robot and Human Interactive Communication (RO-MAN), 2015 24th IEEE International Symposium on
  • Type

    conf

  • DOI
    10.1109/ROMAN.2015.7333651
  • Filename
    7333651