Evaluating the Usability of an HIV Prevention Artificial Intelligence Chatbot in Malaysia: National Observational Study
The web-based AI chatbot demonstrated high usability in delivering HIV self-testing kits and providing clinical information on HIV testing, PrEP, and mental health services. To enhance its usability in community and clinical settings, the chatbot must offer personalized health information and precise interaction, powered by sophisticated machine learning algorithms. In addition, establishing an effective connection between the AI chatbot and health care systems to eliminate stigma and discrimination toward MSM is crucial for the future implementation of AI chatbots.
Authors
- Sunyoung Oh (ORCID: https://orcid.org/0000-0002-7323-6175)
- Zhao Ni (ORCID: https://orcid.org/0000-0002-9185-9894)
- Iskandar Azwa (ORCID: https://orcid.org/0000-0003-1977-6709)
- Frederick L. Altice (ORCID: https://orcid.org/0000-0002-7860-693X)
- Rumana Saifi (ORCID: https://orcid.org/0000-0001-9114-4728)
Institutions
- Yale University (US)
- University of Malaya (MY)
- Orange County School (US)
Publication Details
- Journal
- JMIR Human Factors
- Published
- 2025-05-29
- DOI
- https://doi.org/10.2196/70034
- Citations
- 3
- Primary Topic
- Mobile Health and mHealth Applications
- Type
- article
- Field-Weighted Citation Impact
- 8.45