About

About the Website

Welcome! We are Group H, a collective of UPOU students dedicated to exploring the groundbreaking potential of AI in revolutionizing the mental health industry—one chat at a time.

In this MMS 142 report, we delve into current AI trends, its trajectory toward mental health integration, and research findings comparing well-being before and after AI's rapid rise. We also explore the future of AI chatbots, their features, and their potential impact on society.

Our group also recognize the ethical challenges we must consider as AI continues to evolve, especially given its current limitations. But with the rapid pace of innovation, we’re optimistic about what lies ahead. The future is full of possibilities, and we’re excited to witness the breakthroughs yet to come.

Group H Members

Frani, Sophia (Sof)

Media Gatherer

Fuentes, Alexia Kimberly

Research Writer

Furing, John Karl (JK)

Research Writer & Media Gatherer

Galang, Alexene Irish (Alex)

Research Writer

Gamao, James Joseph

Repository Administrator

Garcia, Mykaela

Research Writer

Garrido, Lara Althea

Content Editor, Encoder, & Project Manager

Geraldino, Princess

Research Writer

Gloria, Gabrielle Faith

Repository Administrator

Gonzaga, Lara Flynn

Content Editor

Gonzales, Elise Angela

Research Writer

Grecia, Gabriellyn (Geyb)

Research Writer

References

Akinsola, J. E. T., Adeagbo, M. A., Oladapo, K. A., Akinsehinde, S. A., & Onipede, F. O. (2022). Artificial Intelligence emergence in disruptive technology. In CRC Press eBooks (pp. 63–90). https://doi.org/10.1201/9781003224068-4

Chin, H., Song, H., Baek, G., Shin, M., Jung, C., Cha, M., Choi, J., & Cha, C. (2023). The potential of chatbots for emotional support and promoting mental well-being in different cultures: Mixed methods study. Journal of Medical Internet Research, 25, Article e51712. https://doi.org/10.2196/51712

Darcy, A., Daniels, J., Salinger, D., Wicks, P., & Robinson, A. (2021). Evidence of human-level bonds established with a digital conversational agent: cross-sectional, retrospective observational study. JMIR Formative Research, 5(5), e27868. https://doi.org/10.2196/27868

Devillers, L. (2021). Human-Robot Interactions and Affective Computing: The Ethical Implications. In von Braun, J., Archer, M., Reichberg, G. M., & Sánchez Sorondo, M. (Eds.), Robotics, AI, and Humanity. Springer, Cham. https://doi.org/10.1007/978-3-030-54173-6_17

Exploring the pedagogical uses of AI chatbots. (n.d.). Teaching Commons. https://teachingcommons.stanford.edu/teaching-guides/artificial-intelligence-teaching-guide/exploring-pedagogical-uses-ai-chatbots

Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017). 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, 4(2), e19. https://doi.org/10.2196/mental.7785

Følstad, A., & Brandtzaeg, P. B. (2020). Users’ experiences with chatbots: findings from a questionnaire study. Quality and User Experience, 5(1). https://doi.org/10.1007/s41233-020-00033-2

Habicht, J., Viswanathan, S., Carrington, B., Hauser, T. U., Harper, R., & Rollwage, M. (2024). Closing the accessibility gap to mental health treatment with a personalized self-referral chatbot. Nature Medicine, 30, 595–602. https://doi.org/10.1038/s41591-023-02766-x

Haque, M. D. R., & Rubya, S. (2023). An overview of chatbot-based mobile mental health apps: Insights from app description and user reviews. JMIR Mhealth Uhealth, 11, e44838. https://doi.org/10.2196/44838

IBM. (n.d.). What is NLP (Natural Language Processing)? https://www.ibm.com/natural-language-processing

International Business Machines Corporation (IBM). (n.d.). Unlocking the power of chatbots: Key benefits for businesses and customers. https://www.ibm.com/think/insights/unlocking-the-power-of-chatbots-key-benefits-for-businesses-and-customers