Summary
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Mental health disparities have worsened post-pandemic, particularly for marginalized communities. Barriers to effective care, including a lack of culturally sensitive, personalized interventions, exacerbate these disparities. Additionally, mental health professionals are overwhelmed with high demand, full caseloads, and requests for personalized treatments, which increases burnout. This proposed AI-driven mental health therapy system addresses these limitations by integrating Culturally Informed and Flexible Family Treatment for Adolescents (CIFFTA), an evidence-based treatment model, with advanced AI technologies. CIFFTA is designed to support diverse families through culturally adaptable, individualized interventions, incorporating both family and individual therapy components. Leveraging AI tools such as chatbots, virtual agents, and machine learning, this system will deliver culturally tailored interventions, streamline client intake, and provide real-time feedback on client progress.
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Team
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Soyeon Ahn (Education and Psychological Studies), Sangmi Kim (Education and Psychological Studies), Maite Mena (Education and Psychological Studies), Ching-Hua Chuan (Interactive Media), Rishav Sapahia (Computer Science), Kristal Otero (Education and Psychological Studies), Laura Kohn-Wood (Education and Psychological Studies)
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