Emotion Regulation Strategy

Emotion regulation strategy research focuses on understanding how individuals manage their emotional states, aiming to improve mental well-being and develop effective interventions. Current research utilizes machine learning models, including large language models, to automatically classify emotion regulation strategies from behavioral data like verbal and nonverbal cues in various contexts, such as social media interactions and video games. This work has implications for designing more ethical and empathetic technologies, improving mental health support systems, and enhancing human-computer interaction.