DocumentCode :
250228
Title :
Interactive robots as social partner for communication care
Author :
Lili Liu ; Bingbing Li ; I-Ming Chen ; Tze Jui Goh ; Min Sung
Author_Institution :
Robotic Res. Center, Nanyang Technol. Univ., Singapore, Singapore
fYear :
2014
fDate :
May 31 2014-June 7 2014
Firstpage :
2231
Lastpage :
2236
Abstract :
Recent research suggests children with autism show certain positive social behaviors while interacting with robots without the presence of peer pressure. This paper explores possible use of interactive robots for interaction with children with autism. Logical artificial intelligence, reasoning about beliefs, desires and intentions (BDI model) serve as a basis to construct a set of scenarios. The present invention also describes a novel real-world motivated learning method. It uses a supervised reinforcement learning approach combined with goal creating. Autonomous agent learns problems in the real world through interaction with the patient. Methods and systems for management of brain and body functions and sensory perception, observing/analyzing, interactive behavior are presented. In one instance, the virtual agent is integrated with a computer-aided system for diagnosis, monitoring, and therapy.
Keywords :
human-robot interaction; learning (artificial intelligence); patient diagnosis; patient monitoring; patient treatment; social aspects of automation; social sciences; autonomous agent; children with autism; communication care; computer-aided system; interactive robots; logical artificial intelligence; patient diagnosis; patient monitoring; patient therapy; positive social behaviors; real-world motivated learning method; reasoning about beliefs; social partner; supervised reinforcement learning approach; virtual agent; Automation; Conferences; Robots; Autism therapy; BDI; Children with autism; Goal creation; Motivated Learning; Robotics; Social robot; Tele communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2014 IEEE International Conference on
Conference_Location :
Hong Kong
Type :
conf
DOI :
10.1109/ICRA.2014.6907167
Filename :
6907167
Link To Document :
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