MOODMAPPER: Designing and Evaluating an Adaptive Mood Monitoring System to Enhance Stress Recognition and Coping Strategies for Students at South East Asian Institute of Technology Inc

This study introduces MOODMAPPER, an adaptive mood monitoring system designed to enhance stress recognition and coping strategies for students at the South East Asian Institute of Technology Inc. The system leverages AI-powered mood self-reporting, real-time stress detection, personalized coping mechanisms, and an integrated alert system that connects students to school guidance counselors for timely intervention. MOODMAPPER features a culturally sensitive, user-friendly mobile interface offering mood tracking, AI chat support, relaxation music, and optional inspirational content, alongside a secure web-based dashboard for counselors to monitor student well-being. Usability testing with 90 student users and 10 counselors revealed high ease of use ratings, strong engagement, and satisfaction with culturally aware design and personalized support. While users noted some challenges with system responsiveness and advanced feature navigation, overall results demonstrate MOODMAPPER’s effectiveness as a culturally competent mental health tool that supports emotional awareness, stress management, and proactive school-based support. The findings suggest that adaptive, culturally sensitive HCI-driven platforms like MOODMAPPER can improve mental health care accessibility and outcomes for diverse student populations in academic settings