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Interaction design and methodology of robot-assisted therapy for children with severe ASD and ADHD

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dc.contributor.author Sandygulova, Anara
dc.contributor.author Zhexenova, Zhanel
dc.contributor.author Tleubayev, Bolat
dc.contributor.author Nurakhmetova, Aidana
dc.contributor.author Zhumabekova, Dana
dc.contributor.author Assylgali, Ilyas
dc.contributor.author Rzagaliyev, Yerzhan
dc.contributor.author Zhakenova, Aliya
dc.date.accessioned 2020-06-02T03:54:52Z
dc.date.available 2020-06-02T03:54:52Z
dc.date.issued 2019-08-30
dc.identifier.citation Sandygulova, A., Zhexenova, Z., Tleubayev, B., Nurakhmetova, A., Zhumabekova, D., Assylgali, I., ... & Zhakenova, A. (2019). Interaction design and methodology of robot-assisted therapy for children with severe ASD and ADHD. Paladyn, Journal of Behavioral Robotics, 10(1), 330-345. en_US
dc.identifier.uri https://doi.org/10.1515/pjbr-2019-0027
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/4779
dc.description.abstract This paper presents a patient-centered interaction design of Robot-Assisted Therapy or Robot-Assisted Play (RAP) applications for children with a diverse form of Autism Spectrum Disorder (ASD) combined with Attention Deficit Hyperactivity Disorder (ADHD). Through our iterative evaluation process based on observations of fourteen children over several sessions and interviews with their parents, we continuously refined the behaviors of a humanoid robot NAO that are now ready to be used for research on Robot-Assisted Therapy. This paper also reports the design of RAP methodology that might be helpful in assimilating iterative input from stakeholders such as children, parents and therapists to customize technology for other populations with special needs. en_US
dc.language.iso en en_US
dc.publisher De Gruyter en_US
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.title Interaction design and methodology of robot-assisted therapy for children with severe ASD and ADHD en_US
dc.type Article en_US
workflow.import.source science


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