聊天GPT效应:在AI心理健康支持中调查不断变化的话语模式,情绪和利益挑战框架
Sanguk Lee1,2, Minjin Mj Rheu3, Jie Zhuang1
1Department of Communication Studies, Texas Christian University, Fort Worth, TX 76109, USA.
Behavioral sciences (Basel, Switzerland)
|September 27, 2025
概括
关于人工智能用于心理健康支持的公众观点显示,人们正在转向大语言模型 (LLM). 而用户则重视人工智能.
科学领域:
- 心理健康技术 心理健康技术
- 人工智能伦理学 人工智能伦理学
- 人与计算机的交互
背景情况:
- 人工智能 (AI) 提供了可扩展的心理健康支持的潜力.
- 人工智能在精神卫生保健中的实施面临着安全不确定性和挑战.
- 人工智能对心理健康的公众认知和采用正在不断发展.
研究的目的:
- 检查公众对人工智能驱动的心理健康支持的看法.
- 分析用户偏好转向不同AI技术的变化.
- 识别与人工智能在精神卫生保健中的相关问题和好处.
主要方法:
- 分析了517个与人工智能和心理健康相关的Reddit帖子.
- 对ChatGPT发布前后的讨论进行比较分析.
- 检查用户体验和社区特定的讨论模式.
主要成果:
- 在ChatGPT之后,人工智能心理健康讨论的激增,有利于大语言模型 (LLMs).
- 用户欣赏人工智能的情感支持,陪伴和可访问性.
- 担忧包括不良影响,缺乏对话深度和情感联系.
- 人工智能经验丰富的用户和人工智能社区专注于好处;心理健康社区强调局限性.
结论:
- 量身定制的沟通对于管理心理健康护理中关于人工智能的期望至关重要.
- 人工智能系统需要解决诸如对话深度和情感联系等局限性.
- 伦理的人工智能开发应该专注于补充传统护理和减轻风险.
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