Tailoring biblio-poetry therapies using AI and biofeedback for addiction treatment

Title : Tailoring biblio-poetry therapies using AI and biofeedback for addiction treatment

Abstract:

Biblio-poetry therapy, often called bibliotherapy or poetry therapy, is a therapeutic approach that uses literature—particularly poetry—as a tool for emotional expression, self-reflection, and personal healing. The integration of artificial intelligence (AI) and biofeedback into therapeutic practices has the potential to significantly enhance the effectiveness of biblio-poetry therapy, particularly for individuals struggling with addiction. This presentation explores multiple dimensions of how AI can support therapists and clients, drawing on a comprehensive literature review and firsthand experiences from therapists and clients at Hope at Hand, a nonprofit organization dedicated to using poetry therapy for healing. Recent studies indicate that biblio-poetry therapy develops individuals' crucial protective factors for addiction recovery. However, challenges such as personalization of content, accessibility, and engagement persist. This presentation will outline key applications of AI, including personalized content generation, sentiment analysis, accessibility enhancements, and data-driven insights. Case studies will highlight the experiences of therapists and clients utilizing these advanced tools and their impact on treatment outcomes. The aim is to demonstrate that the intersection of AI technology and biblio-poetry therapy represents an innovative frontier for enhancing addiction treatment efficacy, providing practitioners with a more engaging and individualized therapeutic approach. While these therapies may not directly prevent addiction, they contribute to overall well-being and equip individuals with valuable tools to navigate life’s challenges.

Audience Takeaway Notes

• Understand how biblio-poetry therapies using AI and biofeedback provide a promising future for personal growth, emotional regulation, and resilience.
• Understand how AI algorithms can tailor literary content to respond to emotional and physiological states.
• Identify how AI, in real-time, enhances biofeedback in biblio-poetry therapies.
• Recognize the importance of ongoing monitoring in tracking progress and refining treatment strategies.
• Engage in discussions on the expanding role of technology in therapeutic practices.

Biography:

Dr. Nile Stanley is an Associate Professor of Literacy Education and the Arts at the University of North Florida, He has 36 years of experience as a reading specialist, poetry educator, artist in residence, educational diagnostician, and visiting scholar of narrative psychology in China, Germany, and Vietnam. He has published research in the Journal of Poetry Therapy, Reading Psychology, and Language Magazine. He is an editorial board member of the Journal of Poetry Therapy and a past editor of the Florida Reading Journal. Dr. Stanley is a founding board member of Hope at Hand, Inc., a non-profit center that provides art and poetry interventions for underserved youth. The AETNA Insurance Company awarded Hope at Hand, Inc, as one of the best non-profit mental health providers in North Florida.