WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/10007990,
	  title     = {A Robotic “Puppet Master” Application to ASD Therapeutic Support},
	  author    = {Sophie Sakka and  Rénald Gaboriau},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper describes a preliminary work aimed at
setting a therapeutic support for autistic teenagers using three
humanoid robots NAO shared by ASD (Autism Spectrum Disorder)
subjects. The studied population had attended successfully a first
year program, and were observed with a second year program
using the robots. This paper focuses on the content and the effects
of the second year program. The approach is based on a master
puppet concept: the subjects program the robots, and use them as
an extension for communication. Twenty sessions were organized,
alternating ten preparatory sessions and ten robotics programming
sessions. During the preparatory sessions, the subjects write a story
to be played by the robots. During the robot programming sessions,
the subjects program the motions to be realized to make the robot
tell the story. The program was concluded by a public performance.
The experiment involves five ASD teenagers aged 12-15, who had
all attended the first year robotics training. As a result, a progress
in voluntary and organized communication skills of the five subjects
was observed, leading to improvements in social organization,
focus, voluntary communication, programming, reading and writing
abilities. The changes observed in the subjects general behavior
took place in a short time, and could be observed from one robotics
session to the next one. The approach allowed the subjects to
draw the limits of their body with respect to the environment, and
therefore helped them confronting the world with less anxiety.},
	    journal   = {International Journal of Mechanical and Mechatronics Engineering},
	  volume    = {11},
	  number    = {8},
	  year      = {2017},
	  pages     = {1502 - 1510},
	  ee        = {https://publications.waset.org/pdf/10007990},
	  url   	= {https://publications.waset.org/vol/128},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 128, 2017},
	}