Optimization of AI in Monitoring and Stress Management for Workers in the Digital Era

Abstract

Digital transformation in the workplace has brought significant changes to the way workers carry out their activities. On one hand, digitalization increases efficiency, but on the other hand, it also creates psychological pressure that leads to increased stress, chronic fatigue, and burnout. Based on research in Malaysia, the average work-related stress score is 62.8%. Among them are medical personnel (68.8%) and those working in urban areas (70.4%). Unfortunately, many organizations do not have an integrated and data-driven mental health monitoring system. This community service activity aims to assist partners in Malaysia in understanding, implementing, and utilizing AI technology for monitoring and managing worker stress. The activities are conducted online in four stages: an online survey of workers to identify stress levels, the creation of a simple AI platform, training on the use of AI for stress detection based on digital behavior input, and evaluation through a post-program survey to refine the system based on partner feedback. The results of this activity show an increase of more than 80% of workers understanding digital literacy, particularly the use of AI for stress management. Through digital behavior, AI analyzes workers' stress levels and provides follow-up recommendations for those in need. Through this service, workers can utilize AI from various platforms to reduce stress levels.