AI-Assisted Child Psychology Platform for Enhancing Emotional and Psychological Well- Being: A Case Study

Abstract

Child mental health is an area of growing concern globally, with many children experiencing emotional difficulties such as anxiety, depression, and stress, which often go undiagnosed or untreated. Early intervention and effective emotional support are crucial for the development of healthy coping mechanisms. This paper explores the development and evaluation of an AI-assisted child psychology platform designed to support the emotional well-being of children aged 4-12 years. The platform employs advanced artificial intelligence (AI) to monitor, assess, and provide personalized feedback on children’s emotional states through text, voice, and facial expressions. By utilizing machine learning algorithms, the platform analyzes emotional trends and offers educational tools, coping strategies, and supportive resources tailored to the child’s emotional needs. Furthermore, privacy and ethical considerations are central to the platform’s design. To safeguard sensitive data, the platform incorporates privacy-preserving technologies such as federated learning and differential privacy. Additionally, the system employs bias mitigation strategies to ensure the platform provides equitable emotional support across diverse cultural and linguistic backgrounds. The platform’s effectiveness was evaluated through a pilot study involving 300 children, with results indicating high engagement, improved emotional awareness, and positive behavioral changes. This study demonstrates the potential for AI to enhance mental health support for children in a secure, ethical, and personalized manner, and it provides a blueprint for future developments in the field.

DoI: https://doi.org/10.24321/3051.424X.202403