Human-social interaction robots to improve shared attention in children with autism

• Autorzy: Ashrafi Ali

Identyfikatory

DOI

10.35784/jcsi.2431

Warianty tytułu

PL

Wykorzystanie interakcji człowiek-robot w celu poprawy rozproszonej uwagi u dzieci z autyzmem

• Języki publikacji: EN

Abstrakty

EN

The motivation behind the momentum research is use of robots explicitly human robots which has filled drastically in various domains, including treatment. In this examination, a humanoid robot was used to improve open consideration in children with mental imbalance. One of the troubles of this system is that contamination makes remarkable conditions for the patient that the presence of the guide and some other new thing isn't easily recognized. The subsequent test is to pick appropriate figuring and systems for following the head and understudy of the eye in youthful steers with mental awkwardness. One of the credits of which is obligatory and uncontrolled improvements of the head and eyes to the sides. The third issue is the treatment and investigation strategies. The treatment cycle and the arranged tests should not to reason extravagant instigation in the youth. The aim is to beat the referred to troubles, not-withstanding the high-block progressing understudy following count, without the use of business gear. Fleecy decision tree has been used to join clinical and planning information during therapy, ultimately the possibility of instinctive therapy for the improvement of restoratively withdrawn young people has been introduced.

Słowa kluczowe

EN

social assistant robots; autism; pupil detection; human-robot interaction; fuzzy decision making

PL

roboty społeczne; autyzm; interakcja człowiek-robot; system rozmyty; podejmowanie decyzji

• Wydawca: Wydawnictwo Politechniki Lubelskiej
• Czasopismo: Journal of Computer Sciences Institute
• Rocznik: 2021
• Tom: Vol. 18
• Strony: 49--54
• Opis fizyczny: Bibliogr. 30 poz., rys., tab.

Twórcy

autor

Ashrafi Ali

• English Department, Islamic Azad University, Shahr-e-Qods Branch, Tehran, Iran

Bibliografia

• [1] B. Scassellati, A. Henny, M. Maja, Robots for use in autism research, Annual review of biomedical engineering 14 (2012) 275-294.
• [2] A. S. Kasha, A. Zakipour, M. Alemi. M. Meghdari, Design and realization of sing language educational humanoid robot, Journal of intelligent & Robotic System (2018) 1-15.
• [3] O. Rudovic, M. Zhang, B. Schuller, R. Picard, Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach, In 2019 International Conference on Multimodal Interaction (ICMI’19), October 14–18, 2019, Suzhou, China, ACM, New York, USA.
• [4] S. Robinson, L. Goddard, B. Dritschel, M. Wisley, P. Howlin, Executive functions in children with autism spectrum disorders, Brain Cognit 71(3) (2009) 362-368.
• [5] S. A. Samadi, R. McConkey, Screening for autism in Iranian preschoolers: contrasting M-CHAT and a scale developed in Iran, Autism Dev Disord 45(9) (2015) 2908-16.
• [6] S. M Anzalone, E. Tilmont, S. Boucenna, J. Xavier, A. L. Jouen, N. Bodeau, K. Maharatna, M. Chetouani, D. Cohen, MICHELANGELO Study Group, How children with autism spectrum disorder behave and explore the 4-dimensional (spatial 3D+ time) environment during a joint attention induction task with a robot, Research in Autism Spectrum Disorders 8 No 7 (2014) 814-826.
• [7] N. J. Pyun, S. Halima, Y. Nicole, Adaptive haar-like features for head pose estimation, International Conference Image Analysis and Recognition, Springer International Publishing (2014) 94-101.
• [8] M. Sikandar Lal Khan, L. Zhihan, L. Haibo, Head orientation modelling: Geometric head pose estimation using monocular camera, The 1st IEEE/IIAE International Conference on Intelligent Systems and Image Processing 2013.
• [9] B. Scassellati, A Henny. M. Maja, Robots for use in autism research, Annual review of biomedical engineering 14 (2012) 275-294.
• [10] R. Varadharajan, M. K. Priyan, P. Panchatcharam et al, A new approach for prediction of lung carcinoma using back propagation neural network with decision tree classifiers, J Ambient Intell Human Comput (2018) 1-12.
• [11] S. M. Anzalone, E. Tilmont, S. Boucenna, J. Xavier, A. L. Jouen, N. Bodeau, K. Maharatna, M. Chetouani, D. Cohen, MICHELANGELO Study Group, How children with autism spectrum disorder behave and explore the 4-dimensional (spatial 3D+ time) environment during a joint attention induction task with a robot, Research in Autism Spectrum Disorders 8 No 7 (2014) 814-826.
• [12] N. J. Pyun, S. Halima, V. Nicole, Adaptive haar-like features for head pose estimation, International Conference Image Analysis and Recognition, Springer International Publishing (2014) 94-101.
• [13] M. Sikandar Lal Khan, L. Zhihan, L. Haibo, Head orientation modelling: Geometric head pose estimation using monocular camera, The 1st IEEE/IIAE International Conference on Intelligent Systems and Image Processing 2013.
• [14] S. M. Srinivasan, I. M. Eigsti, L. Neelly, A. N. Bhat, The effects of embodied rhythm and robotic interventions on the spontaneous and responsive social attention patterns of children with Autism Spectrum Disorder (ASD): A pilot randomized controlled trial, RASD 27 (2016) 54-72.
• [15] F. Abdollahipour, M. Alizadeh, M. A. Fahimi, S. K. Esmaeili, Study of face and content validity of the Persian Version of behavior Rating Inventory of Executive function, J Rehabil 17(1) (2016) 12-19.
• [16] D. O. David, C. A. Costescu, S. Matu, A. Szentagotai, A. Dobrean, Developing joint attention for children with autism in robot-enhanced therapy, Int J Soc Robot 10(5) (2018) 595-605.
• [17] C.D.C (Centers for Disease Control and Prevention), Prevalence of autism spectrum disorders among children aged 8 years: Autism and developmental disabilities monitoring network, sites, United States 2010.
• [18] M. C. Di Lieto, E. Castro, E. Cecchi, F. Cioni, G. Dell’Omo, et al. Educational Robotics intervention on Executive Functions in preschool children: A pilot study. Comput Hum Behav 71 (2017) 16-23.
• [19] S. Costa, C. Santos, F. Soares, M. Ferreira, F. Moreira, Promoting interaction amongst autistic adolescents using robots, 32nd Annual International Conference of the IEEE/EMBS, Buenos Aires, Argentina (2010) 3856-3859.
• [20] D. Feil-Seifer, M. J. Matarić, Automated detection and classification of positive vs. negative robot interactions with children with autism using distance-based features, Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction; New York, NY: ACM Press (2011) 323-330.
• [21] R. W. Picard, Emotion research by the people, for the people, Emotion Review 2 (2010) 250-254.
• [22] D. J. Ricks, M. B. Colton, Trends and considerations in robot-assisted autism therapy; 2010 IEEE International Conference on Robotics and Automation (IRCA), (2010) 4354-4359.
• [23] M. South, J. J. Diehl, Neurobiology: FMRI, In: Hollander E, Kolevzon A, Coyle J, editors. Textbook of autism spectrum disorders. Arlington, VA: American Psychiatric Publishing (2010) 485-496.
• [24] J. Wainer, E. Ferrari, K. Dautenhahn K, Robins, The effectiveness of using a robotics class to foster collaboration among groups of children with autism in an exploratory study, Personal Ubiquitous Computing 14 (2010) 445-455.
• [25] E. I. Barakova, Robots for social training of autistic children, Empowering therapists in intensive training programs, In: Abraham et al. editors. Proceedings of IEEE WICT (2011) 14-19.
• [26] J. J. Diehl, L. Schmitt, C. R. Crowell, M. Villano, The clinical use of robots for children with autism spectrum disorders: a critical review, Res Aut Spect Dis 6 (2012) 249-62.
• [27] D. Feil-Seifer, M. J. Matarić, Using robots to augment (not replace) people in therapeutic settings, Refereed workshop: robotics: science and system (2011) Los Angeles.
• [28] J. M. Hollerback, M. T. Mason, H. Christensen, A roadmap for U.S. robotics – from internet to robotics, Updated 2009. http://wwww.us-robotics.us, accessed 1 Mar 2012.
• [29] L. D. Riek, Wizard of oz studies in HRI: a systematic review and new reporting guidelines, J Hum Robot Int 1 (2012) 119-136.
• [30] J. Wainer, E. Ferrari, K. Dautenhahn, B. Robins, The effectiveness of using a robotics class to foster collaboration among groups of children with autism in an exploratory study, Personal Ubiq Comput 14 (2010) 445-55.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).