AI-Driven mHealth Solutions for Regulating Screen Time in Young Children: A Systematic Review of Parental Interventions, Digital Well-Being, and HCI Approaches
Disciplines
Computer and Systems Architecture
Abstract (300 words maximum)
The increasing prevalence of screen timing among people, especially young children, has become a concerning issue as this may impact directly or indirectly on children’s cognitive, emotional and physical development. To address this challenge, it is important to find out the underlying causes of this increasing screen timing and therefore, our research is focused on performing a systematic review of the available literature on screen time regulation, parental intervention strategies and HCI. In the review, our goal is to pinpoint significant research gaps concerning the personal and socioeconomic influences on digital consumption in young children by dissecting current research findings. Besides, we are going through the prior research to find the parental obstacles, digital well-being interventions and AI based solutions to regulate a healthy screen timing routine. Through this examination, we are focusing on the emerging need of adaptive, personalized and data-driven interventions which will help parents to manage their children’s unregulated screen timing. By using the gained insights, we aim to build a smartphone based mHealth solution which will leverage AI and Machine Learning algorithms. This tool will offer real time monitoring and personalized advice based on the digital patterns and the socio economic status of the parent child dyad. Thus, our initiative is aimed at closing the gap between the theoretical research and the practical application to support the optimal cognitive and emotional development of young children and, therefore, ensure the correct approach to the digital interaction.
Academic department under which the project should be listed
CCSE - Computer Science
Primary Investigator (PI) Name
Dr. Nazmus Sakib
AI-Driven mHealth Solutions for Regulating Screen Time in Young Children: A Systematic Review of Parental Interventions, Digital Well-Being, and HCI Approaches
The increasing prevalence of screen timing among people, especially young children, has become a concerning issue as this may impact directly or indirectly on children’s cognitive, emotional and physical development. To address this challenge, it is important to find out the underlying causes of this increasing screen timing and therefore, our research is focused on performing a systematic review of the available literature on screen time regulation, parental intervention strategies and HCI. In the review, our goal is to pinpoint significant research gaps concerning the personal and socioeconomic influences on digital consumption in young children by dissecting current research findings. Besides, we are going through the prior research to find the parental obstacles, digital well-being interventions and AI based solutions to regulate a healthy screen timing routine. Through this examination, we are focusing on the emerging need of adaptive, personalized and data-driven interventions which will help parents to manage their children’s unregulated screen timing. By using the gained insights, we aim to build a smartphone based mHealth solution which will leverage AI and Machine Learning algorithms. This tool will offer real time monitoring and personalized advice based on the digital patterns and the socio economic status of the parent child dyad. Thus, our initiative is aimed at closing the gap between the theoretical research and the practical application to support the optimal cognitive and emotional development of young children and, therefore, ensure the correct approach to the digital interaction.