A Preliminary Study of Voicebot to Assist ADHD Children in Performing Daily Tasks
Authors
Do Eun Park ; Junghan Lee ; Jeehyun Han ; Jinwoo Kim ; Yee Jin Shin
Citation
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, Vol.39 : 1-15, 2023-01
Journal Title
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
Issue Date
2023-01
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.