Cited 2 times in
A Preliminary Study of Voicebot to Assist ADHD Children in Performing Daily Tasks
DC Field | Value | Language |
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dc.contributor.author | 신의진 | - |
dc.contributor.author | 이정한 | - |
dc.date.accessioned | 2023-03-27T02:45:27Z | - |
dc.date.available | 2023-03-27T02:45:27Z | - |
dc.date.issued | 2023-01 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/193695 | - |
dc.description.abstract | Attention Deficit Hyperactivity Disorder (ADHD) child patients have difficulty in starting and completing daily tasks successfully on time due to executive function impairment. As a result, issues arise due to the patient having low self-efficacy and frequent troubles with parents. This study is a parallel pilot randomized controlled trial that suggests the usefulness of a voicebot to assist children with ADHD in performing daily tasks. A dialogue structure to help children’s self-instruction training and a token-based economies method for task performance were applied to the voicebot. Sixteen children and their parents [Intervention group (n = 7), Control group (n = 9)] participated in an 8-week, home-based field study. We developed the voicebot using Raspberry Pi and allowed children with ADHD to use it four times a day through voice interaction. We found that children’s use of the voicebot helped them to increase their self-efficacy, decrease the inattentiveness, increase self-control in completing daily tasks, and decrease the severity of behavioral problems. The study also revealed that it can help improve parent-child relationships. This study will be informative for researchers who engage in future studies that seek to provide insights into the area of assistive care for children with ADHD. | - |
dc.description.statementOfResponsibility | restriction | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | A Preliminary Study of Voicebot to Assist ADHD Children in Performing Daily Tasks | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Psychiatry (정신과학교실) | - |
dc.contributor.googleauthor | Do Eun Park | - |
dc.contributor.googleauthor | Junghan Lee | - |
dc.contributor.googleauthor | Jeehyun Han | - |
dc.contributor.googleauthor | Jinwoo Kim | - |
dc.contributor.googleauthor | Yee Jin Shin | - |
dc.identifier.doi | 10.1080/10447318.2023.2169530 | - |
dc.contributor.localId | A02136 | - |
dc.contributor.localId | A05799 | - |
dc.identifier.url | https://www.tandfonline.com/doi/full/10.1080/10447318.2023.2169530 | - |
dc.contributor.alternativeName | Shin, Yee Jin | - |
dc.contributor.affiliatedAuthor | 신의진 | - |
dc.contributor.affiliatedAuthor | 이정한 | - |
dc.citation.volume | 39 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 15 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, Vol.39 : 1-15, 2023-01 | - |
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