Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/176637
Title: | Designing artificial intelligence chatbot systems to promote mental well-being: a review of the opportunities and challenges | Authors: | Cao, Kexin Ooi, Daphne Ngiam, Wen Xun |
Keywords: | Social Sciences | Issue Date: | 2024 | Publisher: | Nanyang Technological University | Source: | Cao, K., Ooi, D. & Ngiam, W. X. (2024). Designing artificial intelligence chatbot systems to promote mental well-being: a review of the opportunities and challenges. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176637 | Abstract: | 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. | URI: | https://hdl.handle.net/10356/176637 | Schools: | School of Social Sciences | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | SSS Student Reports (FYP/IA/PA/PI) |
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HP4099_FinalReport.pdf Restricted Access | 673.99 kB | Adobe PDF | View/Open |
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