Evaluating the Usability of an HIV Prevention Artificial Intelligence Chatbot in Malaysia: National Observational Study.

Journal: JMIR human factors
Published Date: Jul 15, 2025

Abstract

BACKGROUND: Malaysia, an upper middle-income country in the Asia-Pacific region, has an HIV epidemic that has transitioned from needle sharing to sexual transmission, mainly in men who have sex with men (MSM). MSM are the most vulnerable population for HIV in Malaysia. In 2022, our team developed a web-based artificial intelligence (AI) chatbot and tested its feasibility and acceptability among MSM in Malaysia to promote HIV testing. To enhance the usability of the AI chatbot, we made it accessible to the public through the website called MYHIV365 and tested it in an observational study.

Authors

  • Zhao Ni
    School of Nursing, Yale University, 400 West Campus Drive, Orange, US.
  • Sunyoung Oh
    School of Nursing, Yale University, New Haven, CT, United States.
  • Rumana Saifi
    Centre of Excellence for Research in Infectious Diseases & AIDS (CERiA), Universiti Malaya, Kuala Lumpur, MY.
  • Iskandar Azwa
    Centre of Excellence for Research in Infectious Diseases & AIDS (CERiA), Universiti Malaya, Kuala Lumpur, MY.
  • Frederick L Altice
    1 AIDS Program, Department of Internal Medicine, Section of Infectious Diseases, Yale University School of Medicine, New Haven, Connecticut.

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