A New Robotic Platform for Sign Language Tutoring: Humanoid Robots as Assistive Game Companions for Teaching Sign Language

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46 Atıf (Scopus)

Özet

This paper presents a socially interactive humanoid robot-assisted system for sign language (SL) tutoring for children with communication impairments by means of imitation-based interaction games. In this study, a five-fingered robot platform Robovie R3 is used to express a set of chosen words in Turkish sign language (TSL) using hand and body movements combined with facial expressions. The robot is able to recognize signs through a RGB-D camera and give vocal, visual and motional (as signs) feedback. The proposed game consists of an introductory phase where participants are introduced to the robot and the signs; an imitation-based learning phase where participants are motivated to imitate the signs demonstrated by the robot, and a test phase where the signs taught in the previous phases are tested within a guessing game. The current paper presents results from the studies with three different test groups. The presented humanoid robot is used as an assistive social companion in the game context using sign language and visual clues to interact with the children. The robot is evaluated according to the participant’s sign recognition ability within different setups. The results indicate that the robot has a significant effect on the sign learning performance of participants.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)571-585
Sayfa sayısı15
DergiInternational Journal of Social Robotics
Hacim7
Basın numarası5
DOI'lar
Yayın durumuYayınlandı - 1 Kas 2015

Bibliyografik not

Publisher Copyright:
© 2015, Springer Science+Business Media Dordrecht.

Finansman

We would like to thank the managers, teachers and students of Ferahevler Primary School, Dosteller Secondary School for Hearing-Impaired Children and Turkish Hearing-Impaired Association for their voluntary participation, their criticisms and contributions to this study. And also we would like to thank TSL tutors Sumru Özsoy and Feride Korkmaz for their guidance. Research supported by the Scientific and Technological Research Council of Turkey under the contract TUBITAK KARIYER 111E283.

FinansörlerFinansör numarası
TUBITAKKARIYER 111E283
Horizon 2020 Framework Programme688014
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

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