Development and Evaluation of a Bilingual Mental Health Chatbot Using ChatGPT 4.0: Pilot Study of Dr. CareSam with Korean Users (Preprint)

Author:

Kang BoyoungORCID,Hong MunpyoORCID

Abstract

BACKGROUND

Mental health chatbots have emerged as a promising tool for providing accessible and convenient support to individuals in need. Building on our previous research on digital interventions for loneliness and depression among Korean college students, this study addresses the limitations identified and explores more advanced AI-driven solutions.

OBJECTIVE

This study aimed to develop and evaluate the performance of HoMemeTown Dr. CareSam, an advanced bilingual chatbot implemented in both English and Korean using ChatGPT 4.0. The chatbot was designed to address the need for more personalized and culturally sensitive mental health support identified in our previous work, while providing an accessible and user-friendly interface for Korean young adults.

METHODS

We conducted a mixed-methods pilot study with 20 Korean young adults aged 18 to 27 years (mean=23.3, SD=1.96). The HoMemeTown Dr. CareSam chatbot was developed using the GPT API, incorporating features such as a gratitude journal and risk detection. User satisfaction and chatbot performance were evaluated using quantitative surveys and qualitative feedback. Comparative analyses were conducted with other LLM chatbots and existing digital therapy tools (Woebot and Happify).

RESULTS

Users generally expressed positive views towards the chatbot, with positivity & support receiving the highest score on a 10-point scale (mean=9.0, SD=1.2), followed by empathy (mean=8.7, SD=1.6) and active listening (mean=8.0, SD=1.8). However, areas for improvement were noted in professionalism (mean=7.0, SD=2.0), complexity of content (mean=7.4, SD=2.0), and personalization (mean=7.4, SD=2.4). The chatbot demonstrated statistically significant performance differences compared to other LLM chatbots (F=3.2719, P=.0465), with more pronounced differences compared to Woebot and Happify (F=12.9444, P<.001). Qualitative feedback highlighted the chatbot's strengths in providing empathetic responses and a user-friendly interface, while areas for improvement included response speed and the naturalness of Korean language responses.

CONCLUSIONS

The HoMemeTown Dr. CareSam chatbot shows potential as a bilingual mental health support tool, achieving high user satisfaction and demonstrating comparative advantages over existing digital interventions. However, the study's limited sample size and short-term nature necessitate further research. Future studies should include larger-scale clinical trials, enhanced risk detection features, and integration with existing healthcare systems to fully realize its potential in supporting mental well-being across different linguistic and cultural contexts.

Publisher

JMIR Publications Inc.

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