Interaction design and methodology of robot-assisted therapy for children with severe ASD and ADHD
| Autor: | Zhanel Zhexenova, Dana Zhumabekova, Aliya Zhakenova, Aidana Nurakhmetova, Yerzhan Rzagaliyev, Bolat Tleubayev, Ilyas Assylgali, Anara Sandygulova |
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| Rok vydání: | 2019 |
| Předmět: |
Technology
0209 industrial biotechnology medicine.medical_specialty Cognitive Neuroscience autism spectrum disorder (asd) 02 engineering and technology Interaction design robot-enhanced therapy robot-assisted therapy 03 medical and health sciences Behavioral Neuroscience 020901 industrial engineering & automation 0302 clinical medicine Developmental Neuroscience Artificial Intelligence medicine Medical physics Assisted therapy robot-mediated therapy business.industry 030206 dentistry attention deficit hyperactivity disorder (adhd) body regions Human-Computer Interaction robot-assisted play Robot business human activities |
| Zdroj: | Paladyn: Journal of Behavioral Robotics, Vol 10, Iss 1, Pp 330-345 (2019) |
| ISSN: | 2081-4836 |
| DOI: | 10.1515/pjbr-2019-0027 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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