Mental health is critical for our overall well-being, and emotional health challenges are rising globally, especially during and after the pandemic. The emergence of artificial intelligence (AI) can assist community residents and providers with some elements of support in decision-making that can ease the pressure on the behavioral health care system. 

This research aims to understand the feasibility, gain insights, and employ cutting-edge AI in the emotional well-being domain to form an AI-human team to bolster the personalized care that a trained clinician provides. With the shortage of clinicians in the field, we need to turn to AI for specific emotional well-being tasks and supports that AI can do effectively. Therefore, in this research, we plan to develop and deploy natural language and wearable sensing-based multimodal techniques to form an AI-human system as a personalized emotional well-being companion for a large-scale student population. This teaming system will enhance the ability of clinicians to assist with delegating certain elements of emotional support provision to AI while the clinician completes the more complex and sophisticated elements.