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
Link To Document :
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