Consumer Electronics and GenAI Providing User Experiences in Mental Health

As consumer electronics become more ubiquitous and generative artificial intelligence (GenAI) technologies advance rapidly, processing and analyzing semantic information collected from users to enhance their experiences becomes especially important. Traditionally, monitoring students’ educational and psychological health has relied primarily on teachers, a method that is both inefficient and inadequate for comprehensively grasping students’ needs. Therefore, the application of artificial intelligence is particularly critical. GenAI has the capability to gather semantic information from consumer electronics commonly used by students, such as smartphones, wearable devices, and tablets, and perform in-depth analysis. By analyzing curriculum schedules, GenAI can personalize learning paths and predict students’ psychological states through examining individual mental health and media usage data. This article explores how GenAI processes this information to intervene in students’ education and psychological health, and discusses the analysis of adolescent mental health test data collected in recent years as well. Evidence suggests that students enrolled in high schools suffer from the highest rates of depression and major depressive disorder compared to other stages, at 40% and 12.5%, respectively, underscoring the importance of using GenAI for educational and psychological health monitoring. The article summarizes the relevant technologies and models, highlighting the potential of GenAI in enhancing student well-being and academic performance.