Are We Ready for Machine-Led Healing Process? AI Vs Human Touch in Addiction Recovery

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Kirenyala Jamir, Sumnima Rai

Abstract

This study examined how an AI chatbot for Cognitive Behavioral Therapy (CBT) can impact Motivation for Change and Self-Efficacy in Alcohol Use Cessation. Participants were divided into two groups, one received standard addiction treatment, while the other received both the standard treatment and intervention from the AI-CBT chatbot. The results showed no significance in readiness to change in the group using the chatbot (Z = -0.540, p = .589), as well as compared to the control group (U = 184, p = .619). On the other hand, self-efficacy did see a significant boost over time (F(1, 38) = 11.09, p = .002). This shows that while both groups improved, the participants did benefit from the treatment, highlighting how helpful structured support can be during recovery. There wasn't a big difference between the time and group (p = .798), which suggests that the overall treatment setup might boost self-efficacy more than just the chatbot. Qualitative analysis revealed AI chatbot reliable and helpful in the recovery of the participants especially for people who are apprehensive in seeking treatment for the fear of stigmatization where AI chatbots can be useful in such cases, however they also reported the lack of emotional warmth and personal connection, making it hard to feel fully engaged. The research highlights how AI can be useful in therapy. It's not about replacing human connection rather; it's a tool that helps with recovery while still valuing real relationships. AI can be a great support in places like rehabilitation centres where routines are a big part of healing. This study helps us understand digital mental health better, showing that mixing technology with human care might be the future of Addiction Rehabilitation.

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