The Effectiveness of AI-Driven Chatbots in Providing Emotional Support in Mental Health Interventions (Preprint)

UNSTRUCTURED Mental health disorders such as anxiety and depression are globally prevalent, affecting millions. Barriers like stigma, resource limitations, and a shortage of professionals impede access to adequate care. AI-driven chatbots have emerged as a promising tool for mental health interventions, offering accessible and cost-effective support. This study aimed to evaluate the effectiveness of AI-driven chatbots in delivering emotional support compared to traditional human therapy. A mixed-methods approach was employed, with 200 participants experiencing symptoms of anxiety and depression randomized into AI Chatbot or Human Therapy groups. The interventions spanned 12 weeks, utilizing surveys and interviews to assess symptom reduction, user satisfaction, and perceived empathy. Both groups showed significant reductions in anxiety and depression symptoms, with no notable differences in efficacy. While participants appreciated the accessibility and anonymity of chatbots, they reported lower empathy compared to human therapists. Satisfaction levels were high across both groups. AI-driven chatbots are effective supplementary tools in mental health care, addressing accessibility barriers and reducing stigma. However, further improvements are needed to enhance their empathetic capabilities. Future research should focus on long-term outcomes, demographic diversity, and ethical guidelines for AI integration in mental health services..