%0杂志文章%@ 2561-326X %I JMIR出版物%V 6% 卡塔尔世界杯8强波胆分析N 10% P e42055 %马来西亚男男性行为者接受艾滋病毒预防人工智能聊天机器人的形成性评估:焦点小组研究%A Peng,Mary L %A Wickersham,Jeffrey A %A Altice,Frederick L %A Shrestha,Roman %A Azwa,Iskandar %A Zhou,Xin %A Halim,Mohd Akbar Ab %A Ikhtiaruddin,Wan Mohd %A Tee,Vincent %A Kamarulzaman,Adeeba %A Ni,Zhao +耶鲁大学护理学院，美国康涅狄格州纽黑文西校区大道400号，邮编06477,1 203 737 3039，zhao.ni@yale.edu %K人工智能%K聊天机器人%K艾滋病毒预防%K实施科学%K男性发生性行为的男性%K MSM %K移动健康设计%K移动健康设计%K统一理论接受和使用技术%K手机%D 2022 %7 6.10.2022 %9原始论文%J JMIR表格Res %G英文%X背景:移动技术正在日益发展，以支持医学、护理和公共卫生实践，包括艾滋病毒检测和预防。使用人工智能(AI)的聊天机器人是一种新型的移动健康策略，可以促进马来西亚男男性行为者(MSM)的艾滋病毒检测和预防，这是一个艾滋病毒风险较高的难以接触到的人群，但对这一关键人群的重要特征知之甚少。目的:本研究的目的是确定马来西亚MSM接受人工智能聊天机器人的障碍和促进因素，该机器人旨在协助艾滋病毒检测和预防，与潜在用户的感知益处、限制和偏好功能相关。方法:我们在2021年7月至2021年9月期间对马来西亚的31名MSM进行了5次结构化的基于网络的焦点小组访谈。访谈首先使用NVivo (version 9;近年国际)。随后，技术接受和使用的统一理论被用于指导数据分析，将与聊天机器人接受障碍和促进因素相关的新兴主题映射到其4个领域:性能预期、努力预期、促进条件和社会影响。结果:在每个领域都确定了影响MSM接受人工智能聊天机器人的多个障碍和促进因素。 Performance expectancy (ie, the perceived usefulness of the AI chatbot) was influenced by MSM’s concerns about the AI chatbot’s ability to deliver accurate information, its effectiveness in information dissemination and problem-solving, and its ability to provide emotional support and raise health awareness. Convenience, cost, and technical errors influenced the AI chatbot’s effort expectancy (ie, the perceived ease of use). Efficient linkage to health care professionals and HIV self-testing was reported as a facilitating condition of MSM’s receptiveness to using an AI chatbot to access HIV testing. Participants stated that social influence (ie, sociopolitical climate) factors influencing the acceptance of mobile technology that addressed HIV in Malaysia included privacy concerns, pervasive stigma against homosexuality, and the criminalization of same-sex sexual behaviors. Key design strategies that could enhance MSM’s acceptance of an HIV prevention AI chatbot included an anonymous user setting; embedding the chatbot in MSM-friendly web-based platforms; and providing user-guiding questions and options related to HIV testing, prevention, and treatment. Conclusions: This study provides important insights into key features and potential implementation strategies central to designing an AI chatbot as a culturally sensitive digital health tool to prevent stigmatized health conditions in vulnerable and systematically marginalized populations. Such features not only are crucial to designing effective user-centered and culturally situated mobile health interventions for MSM in Malaysia but also illuminate the importance of incorporating social stigma considerations into health technology implementation strategies. %M 36201390 %R 10.2196/42055 %U https://formative.www.mybigtv.com/2022/10/e42055 %U https://doi.org/10.2196/42055 %U http://www.ncbi.nlm.nih.gov/pubmed/36201390