Emotion Regulation

Emotion regulation research focuses on understanding how individuals manage their emotional states, aiming to improve mental well-being and interpersonal interactions. Current research employs diverse methods, including large language models (LLMs) for emotion recognition and strategy classification, and interactive systems using virtual reality and personalized content recommendations to facilitate emotion regulation training. This work holds significant implications for mental health interventions, improving the design of therapeutic tools and technologies, and enhancing our understanding of the complex interplay between emotion, cognition, and behavior.