Li Shuo, Liu Lei, Wang Yuhui, Deng Xinyun
School of Architecture and Art, Central South University, Changsha, China.
Front Public Health. 2025 Jul 17;13:1619535. doi: 10.3389/fpubh.2025.1619535. eCollection 2025.
Adolescent mental health challenges constitute an important global public health issue. Despite the rapid development of AI technology in various fields, its adoption in rural mental health remains constrained. The purpose of this study is to examine the factors that influence the adoption of AI chatbots for mental health education among rural Chinese secondary school students. Utilizing the UTAUT2 framework, we included Perceived Risk (PR) and Perceived Anthropomorphism (PA) to construct a theoretical model. A questionnaire survey of 317 rural adolescents was conducted, analyzed via SPSS and AMOS. Results showed PE, EE, SI, and PA positively correlated with BI; PR negatively correlated; HM had no effect. Grade level moderated specific paths. The study extends UTAUT2 to marginalized populations, filling a gap in AI-driven rural adolescent mental health interventions.
青少年心理健康挑战是一个重要的全球公共卫生问题。尽管人工智能技术在各个领域迅速发展，但其在农村心理健康领域的应用仍然受到限制。本研究的目的是探讨影响中国农村中学生采用人工智能聊天机器人进行心理健康教育的因素。利用UTAUT2框架，我们纳入了感知风险（PR）和感知拟人化（PA）来构建一个理论模型。对317名农村青少年进行了问卷调查，并通过SPSS和AMOS进行分析。结果显示，绩效期望（PE）、努力期望（EE）、社会影响（SI）和感知拟人化（PA）与行为意向（BI）呈正相关；感知风险（PR）呈负相关；享乐动机（HM）没有影响。年级水平调节了特定路径。本研究将UTAUT2扩展到边缘化人群，填补了人工智能驱动的农村青少年心理健康干预的空白。
