Designing artificial intelligence chatbot systems to promote mental well-being: a review of the opportunities and challenges

• Main Authors: Cao, Kexin, Ooi, Daphne, Ngiam, Wen Xun
• Other Authors: Lin Qiu
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Social Sciences; Artificial intelligence; Chatbots; Mental health; Psychological well-being; Conversational agents
• Online Access: https://hdl.handle.net/10356/176637
• Institution: Nanyang Technological University

Artificial intelligence (AI) chatbots have the potential to revolutionize mental health services. This review provides an overview of the benefits, challenges, and future prospects of using AI chatbots to enhance mental well-being. AI chatbots offer low-cost and accessible support to many people. They can personalize care by understanding behavior patterns and offering targeted interventions. One of the challenges is to avoid biases and discrimination. Also, chatbots lack the ability to form therapeutic alliances with users, which requires further research. In relation to the gaps identified in the literature, this paper highlights several directions for future work. AI chatbots should strike a balance between being empathetic and relatable without misleading users into thinking they are human. They are meant to supplement mental health care and not replace professionals. As we continue to refine their capabilities, AI chatbots have the potential to significantly improve well-being.