Li Yan, Li Mengqi, Lu Wenze, He Mengting
School of Nursing, the Hong Kong Polytechnic University.
Stud Health Technol Inform. 2025 Aug 7;329:1958-1959. doi: 10.3233/SHTI251298.
This study evaluated the effectiveness of an AI-driven digital assistant in reducing COVID-19 vaccine hesitancy and enhancing vaccine confidence among vaccine-hesitant adults in Hong Kong through a randomized controlled trial (N = 177). Participants in the intervention group (n = 91) received a web-based psychoeducation program with an AI chatbot utilizing motivational interviewing techniques, while the control group (n = 86) received standard learning materials. Results showed significant improvements in vaccine readiness (p = 0.027), confidence (p = 0.012), and trust in government (p = 0.032) in the intervention group, with moderate effect sizes. The study highlights the potential of AI and motivational interviewing to improve vaccine confidence and readiness, supporting the integration of AI-driven communication strategies in public health interventions.
本研究通过一项随机对照试验（N = 177），评估了人工智能驱动的数字助手在降低香港疫苗犹豫成年人对新冠疫苗的犹豫程度以及增强其疫苗信心方面的有效性。干预组（n = 91）的参与者接受了一个基于网络的心理教育项目，其中包括一个运用动机性访谈技巧的人工智能聊天机器人，而对照组（n = 86）则接受标准学习材料。结果显示，干预组在疫苗接种意愿（p = 0.027）、信心（p = 0.012）和对政府的信任（p = 0.032）方面有显著改善，效应量中等。该研究突出了人工智能和动机性访谈在提高疫苗信心和接种意愿方面的潜力，支持将人工智能驱动的沟通策略纳入公共卫生干预措施。
