 This study aims to explore the acceptance of an anti-TB chatbot in South Korea by conducting interviews and surveys with potential users, and verifying the extended technology acceptance model, TAM. The results indicate that perceived ease of use and social influence were significantly predictive of perceived usefulness, which was predictive of attitude toward the chatbot and behavioral intention. The research model explained 55.4% of the variance in the use of anti-TB chatbots, and a moderating effect of TB history was found in some relationships. This article was authored by Agnes Jihee Kim, Jisoo Inyoung, Yeheun Jang, and others.