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Original Article
Building Empathetic AI for Mental Health Support: A Human-Centered Approach Combining Prompt Engineering, Machine Learning, and Psychological Theories
Dr. Sujata Patil1
Vidya Shinde2
Dr. Sonali Nemade3
123Department of Computer Science, Dr. D. Y. Patil Arts, Commerce and Science College, Pimpri, Pune, Maharashtra, India.
Published Online: January-April 2025
Pages: 193-196
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20250401029
References
1. J. Fitzpatrick, A. Darcy, and M. Vierhile, “Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety
using a fully automated conversational agent (Woebot): A randomized controlled trial,” JMIR Mental Health, vol. 4, no. 2, p. e19, 2017.
2. M. Inkster, L. Sarda, and K. Subramanian, “An empathy-driven, conversational artificial intelligence agent (Wysa) for digital mental well-
being: Real-world data evaluation,” JMIR Mhealth Uhealth, vol. 6, no. 11, p. e12106, 2018.
3. Y. Zhang et al., “Would you trust a GPT? Evaluating AI-generated mental health support,” in Proc. CHI Conf. Hum. Factors Comput.
Syst., 2022.
4. Liu et al., “Pre-train prompt tuning for mental health detection in social media,” in Proc. ACL, 2021.
5. Anderson et al., “Recognizing nuanced emotion in mental health conversations,” in Proc. EMNLP, 2020.
6. Gratch et al., “The Distress Analysis Interview Corpus of human and computer interviews,” in Proc. LREC, 2014.
7. E. Milne-Ives, C. de Cock, L. Lim, E. Shehadeh, and M. Meinert, “The effectiveness of artificial intelligence conversational agents in
health care: Systematic review,” J Med Internet Res., vol. 22, no. 10, p. e20346, 2020.
using a fully automated conversational agent (Woebot): A randomized controlled trial,” JMIR Mental Health, vol. 4, no. 2, p. e19, 2017.
2. M. Inkster, L. Sarda, and K. Subramanian, “An empathy-driven, conversational artificial intelligence agent (Wysa) for digital mental well-
being: Real-world data evaluation,” JMIR Mhealth Uhealth, vol. 6, no. 11, p. e12106, 2018.
3. Y. Zhang et al., “Would you trust a GPT? Evaluating AI-generated mental health support,” in Proc. CHI Conf. Hum. Factors Comput.
Syst., 2022.
4. Liu et al., “Pre-train prompt tuning for mental health detection in social media,” in Proc. ACL, 2021.
5. Anderson et al., “Recognizing nuanced emotion in mental health conversations,” in Proc. EMNLP, 2020.
6. Gratch et al., “The Distress Analysis Interview Corpus of human and computer interviews,” in Proc. LREC, 2014.
7. E. Milne-Ives, C. de Cock, L. Lim, E. Shehadeh, and M. Meinert, “The effectiveness of artificial intelligence conversational agents in
health care: Systematic review,” J Med Internet Res., vol. 22, no. 10, p. e20346, 2020.
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