Alireza Taheri
Adham Atyabi
Ali Meghdari
Minoo Alemi- 1Social and Cognitive Robotics Laboratory, Center of Excellence in Design, Robotics and Automation (CEDRA), Sharif University of Technology, Tehran, Iran
- 2NeuroCognition Laboratory, Department of Computer Science, University of Colorado Colorado Springs, Colorado Springs, CO, United States
- 3Department of Humanities, West Tehran Branch, Islamic Azad University, Tehran, Iran
- 4Chancellor Fereshtegaan International Branch, Islamic Azad University, Tehran, Iran
Editorial on the Research Topic
Human-robot interaction for children with special needs
Utilizing robots in different areas such as education and cognitive rehabilitation of children with special needs (e.g., children with autism, cancer, dyslexia, hearing disabilities, etc.), is rapidly expanding worldwide (Esfandbod et al., 2022; Taheri, 2023). Hence, the use of this technology as a modern tool in diverse educational/treatment classes will be unavoidable in the next few years. Many studies have indicated the positive aspects of Human-Robot Interaction (HRI) platforms for children. For example, specially designed social robots with cute characteristics can facilitate effective engagement levels and compliance of children with special needs toward teachers/therapists and robots in robot-assisted classes (Ghorbandaei-Pour et al., 2018; Taheri et al., 2018; Taheri et al., 2021). Moreover, socially assistive robots could play a catalytic role in making the education and social/cognitive rehabilitation process of children more appealing in a friendly environment, and this could increase the attention span of the participants and their tendency to become deeply involved in educational/treatment tasks (Basiri et al., 2021a; Basiri et al., 2021b). Alternatively, educational and therapeutic robots could benefit teachers and clinical supervisors in several ways, such as by supporting real-time treatment assessment and keeping records of the children’s performance in robot-assisted sessions (Hosseini et al., 2021; Esfandbod et al., 2023; Taheri et al., 2023). Although there are many studies that shed light on using robots for educating/rehabilitating children with special needs, there are still many challenges in this field to be addressed. This Research Topic addressing specific different challenges as well as positive/negative aspects of HRI for children with special needs makes up six of the latest studies in Frontiers in Robotics and AI.
Published papers in this Research Topic
Of the six research papers presented on this Research Topic, three have been conducted with children with autism. Chevalier et al. investigated the effect of sensory sensitivity during robot training in children with ASD. The authors observed that visual and auditory sensitivity influenced improvements in the ability to initiate joint attention. Vora et al. investigated the affordability of developmentally appropriate toys and play areas provided by mobile SARs. The purpose of this study was to assess the role of SARs on children’s physical activity, play behavior, and toy use behavior during free play. The results of this research suggest that a mobile SAR offers affordability through rewards that elicit more time for children’s interaction with the SAR and free play. Baraka et al., suitable action sequences in robot-assisted autism therapy have been investigated. The authors found that an exploratory study of eleven children with autism highlighted the usefulness and limitations of different modes in relation to a variety of possible interaction goals. They demonstrated that personalized robots could be used in the short- and long-term. They mentioned that it paved the way to balance the objective goals in such assistive therapies. Zehfroosh and Tanner, the authors presented a novel hybrid probabilistic approximation reinforcement learning algorithm for Markov decision processes that intelligently retains the advantageous features of both model-based and model-free methods. An experimental implementation of DDQ in the context of pediatric motor rehabilitation facilitated by interaction between infants and robots highlighted the potential benefits of the described method. Ligthart et al. described two studies of children learning about autonomous SARs. The authors found similarities between how children form relationships with humans and how children form relationships with robots. And Feng et al., a robot-assisted platform for music therapy of children with ASD was developed and investigated.
Author contributions
All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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References
Basiri, S., Taheri, A., Meghdari, A., and Alemi, M. (2021a). Design and implementation of a robotic architecture for adaptive teaching: a case study on iranian sign language. J. Intelligent Robotic Syst. 102, 48. doi:10.1007/s10846-021-01413-2
Basiri, S., Taheri, A., Meghdari, A. F., Boroushaki, M., and Alemi, M. (2021b). Dynamic iranian sign language recognition using an optimized deep neural network: an implementation via a robotic-based architecture. Int. J. Soc. Robotics 15, 599–619. doi:10.1007/s12369-021-00819-0
Esfandbod, A., Nourbala, A., Rokhi, Z., Meghdari, A., Taheri, A., and Alemi, M. (2022). Design, manufacture, and acceptance evaluation of apo: a lip-syncing social robot developed for lip-reading training programs. Int. J. Soc. Robotics 22, 1–15. doi:10.1007/s12369-022-00933-7
Esfandbod, A., Rokhi, Z., Meghdari, A., Taheri, A., Alemi, M., and Karimi, M. (2023). Utilizing an emotional robot capable of lip-syncing in robot-assisted speech therapy sessions for children with language disorders. Int. J. Soc. Robotics 15, 165–183. doi:10.1007/s12369-022-00946-2
Ghorbandaei-Pour, A., Taheri, A., Alemi, M., and Meghdari, A. (2018). Human–robot facial expression reciprocal interaction platform: case studies on children with autism. Int. J. Soc. Robotics 10, 179–198. doi:10.1007/s12369-017-0461-4
Hosseini, S., Taheri, A., Alemi, M., and Meghdari, A. (2021). One-shot learning from demonstration approach toward a reciprocal sign language-based hri. Int. J. Soc. Robotics 21, 1–13. doi:10.1007/s12369-021-00818-1
Taheri, A. (2023). “Impacts of socially assistive robots on improving the quality of life in children with autism,” in Encyclopedia of child and adolescent health Editor B. Halpern-Felsher First Edition (Oxford: Academic Press), 99–125. doi:10.1016/B978-0-12-818872-9.00125-4
Taheri, A., Meghdari, A., Alemi, M., and Pouretemad, H. (2018). Human–robot interaction in autism treatment: a case study on three pairs of autistic children as twins, siblings, and classmates. Int. J. Soc. Robotics 10, 93–113. doi:10.1007/s12369-017-0433-8
Taheri, A., Meghdari, A. F., and Alemi, M. (2023). “Socially assistive robots serving individuals with cancer and deafness/hearing loss,” in Encyclopedia of child and adolescent health Editor B. Halpern-Felsher First Edition (Oxford: Academic Press), 126–150. doi:10.1016/B978-0-12-818872-9.00131-X
Keywords: social robotics, human-robot interaction (HRI), children with special care needs, children with special educational needs and disabilities, autism spectrum disorder, neurodevelopmental disorders, robot assisted activity/therapy
Citation: Taheri A, Atyabi A, Meghdari A and Alemi M (2023) Editorial: Human-robot interaction for children with special needs. Front. Robot. AI 10:1206079. doi: 10.3389/frobt.2023.1206079
Received: 14 April 2023; Accepted: 29 August 2023;
Published: 13 September 2023.
Edited and reviewed by:
Kostas J. Kyriakopoulos, National Technical University of Athens, GreeceCopyright © 2023 Taheri, Atyabi, Meghdari and Alemi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Alireza Taheri, YXJ0YWhlcmlAc2hhcmlmLmVkdQ==