Active CR Engagement

Active CR engagement research focuses on improving the effectiveness and efficiency of crisis responder interactions, particularly in mental health contexts, by leveraging AI-driven tools. Current research employs various machine learning models, including transformers, recurrent neural networks, and graph neural networks, to analyze multimodal data (e.g., text, audio, video) and predict engagement levels, identify key issues, and optimize resource allocation. This work has significant implications for enhancing the quality and scalability of crisis response systems, ultimately improving the support provided to individuals in need.