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A Preliminary Study of Voicebot to Assist ADHD Children in Performing Daily Tasks

DC Field Value Language
dc.contributor.author신의진-
dc.contributor.author이정한-
dc.date.accessioned2023-03-27T02:45:27Z-
dc.date.available2023-03-27T02:45:27Z-
dc.date.issued2023-01-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/193695-
dc.description.abstractAttention 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.statementOfResponsibilityrestriction-
dc.relation.isPartOfINTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleA Preliminary Study of Voicebot to Assist ADHD Children in Performing Daily Tasks-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Psychiatry (정신과학교실)-
dc.contributor.googleauthorDo Eun Park-
dc.contributor.googleauthorJunghan Lee-
dc.contributor.googleauthorJeehyun Han-
dc.contributor.googleauthorJinwoo Kim-
dc.contributor.googleauthorYee Jin Shin-
dc.identifier.doi10.1080/10447318.2023.2169530-
dc.contributor.localIdA02136-
dc.contributor.localIdA05799-
dc.identifier.urlhttps://www.tandfonline.com/doi/full/10.1080/10447318.2023.2169530-
dc.contributor.alternativeNameShin, Yee Jin-
dc.contributor.affiliatedAuthor신의진-
dc.contributor.affiliatedAuthor이정한-
dc.citation.volume39-
dc.citation.startPage1-
dc.citation.endPage15-
dc.identifier.bibliographicCitationINTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, Vol.39 : 1-15, 2023-01-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Psychiatry (정신과학교실) > 1. Journal Papers

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