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)

Files in This Item:
File Description SizeFormat 
HP4099_FinalReport.pdf
  Restricted Access
673.99 kBAdobe PDFView/Open

Page view(s)

137
Updated on May 7, 2025

Download(s)

10
Updated on May 7, 2025

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.