In response to the increasing mental health challenges faced by college students, we sought to understand their perspectives on how AI applications, particularly Large Language Models (LLMs), can be leveraged to enhance their mental well-being. Through pilot interviews with ten diverse students, we explored their opinions on the use of LLMs across five fictional scenarios: General Information Inquiry, Initial Screening, Reshaping Patient-Expert Dynamics, Long-term Care, and Follow-up Care. Our findings revealed that students' acceptance of LLMs varied by scenario, with participants highlighting both potential benefits, such as proactive engagement and personalized follow-up care, and concerns, including limitations in training data and emotional support. These insights inform how AI technology should be designed and implemented to effectively support and enhance students' mental well-being, particularly in scenarios where LLMs can complement traditional methods, while maintaining empathy and respecting individual preferences.

本研究针对大学生面临的心理健康挑战，探索他们对大型语言模型（LLMs）在提升心理健康方面应用的看法。通过对十位多样化学生的访谈，发现学生对LLMs的接受度因场景而异，指出了其潜在好处与局限性，这为如何有效设计和实施AI技术以支持学生心理健康提供了宝贵见解。

校园心理咨询中的GPT博士：了解高等教育学生对大型语言模型辅助心理健康服务的看法