RageSense: Leveraging Acoustic Sensing and LLM-Based Intervention for Emotion Regulation in Mobile Gaming

RageSense investigates emotion regulation in mobile gaming by combining acoustic sensing with LLM-based intervention. The project focuses on detecting rage-related affective states during gameplay and delivering context-aware support that can help users reflect, recover, and continue interacting in healthier ways. This work contributes to affective computing and human-centered AI by connecting passive mobile sensing with adaptive, language-driven intervention strategies.