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Dialogue Design for a Robot-Based Face-Mirroring Game to Engage Autistic Children with Emotional Expressions

Authors :
Chevalier, Pauline
Li, Jamy Jue
Ainger, Eloise
Alcorn, Alyssa M.
Babovic, Snezana
Charisi, Vicky
Petrovic, Suncica
Schadenberg, Bob Rinse
Pellicano, Elizabeth
Evers, Vanessa
Kheddar, Abderrahmane
Yoshida, Eiichi
Ge, Shuzhi Sam
Suzuki, Kenji
Cabibihan, John-John
Eyssel, Friederike
He, Hongsheng
Source :
Social Robotics ISBN: 9783319700212, ICSR, Social Robotics: 9th International Conference, ICSR 2017, Tsukuba, Japan, November 22-24, 2017, Proceedings, 546-555, STARTPAGE=546;ENDPAGE=555;TITLE=Social Robotics, Social Robotics. ICSR 2017, Lecture Notes in Computer Science, Lecture Notes in Computer Science-Social Robotics
Publication Year :
2017
Publisher :
Springer International Publishing, 2017.

Abstract

We present design strategies for Human Robot Interaction for school-aged autistic children with limited receptive language. Applying these strategies to the DE-ENIGMA project (large EU project addressing emotion recognition in autistic children) supported development of a new activity for in facial expression imitation whereby the robot imitates the child's face to encourage the child to notice facial expressions in a play-based game. A usability case study with 15 typically-developing children aged 4--6 at an English-language school in the Netherlands was performed to observe the feasibility of the setup and make design revisions before exposing the robot to autistic children.

Details

ISBN :
978-3-319-70021-2
978-3-319-70022-9
ISSN :
03029743 and 16113349
ISBNs :
9783319700212 and 9783319700229
Database :
OpenAIRE
Journal :
Social Robotics ISBN: 9783319700212, ICSR, Social Robotics: 9th International Conference, ICSR 2017, Tsukuba, Japan, November 22-24, 2017, Proceedings, 546-555, STARTPAGE=546;ENDPAGE=555;TITLE=Social Robotics, Social Robotics. ICSR 2017, Lecture Notes in Computer Science, Lecture Notes in Computer Science-Social Robotics
Accession number :
edsair.doi.dedup.....b7d2672c582eda98cc1d1c6f609b5737
Full Text :
https://doi.org/10.1007/978-3-319-70022-9_54