生成型人工智能应用在美国青年中使用
Anne J Maheux1, Samir Akre-Bhide2, Debra Boeldt2
1University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
JAMA network open
|February 2, 2026
概括
人工智能 (GenAI) 应用程序的使用记录在美国年轻人中,超过30%的采用和大量时间花在子集. 需要进一步的研究来了解这种广泛的基因AI使用对发展的影响.
科学领域:
- 数字健康数字健康
- 青少年心理学 青少年心理学
- 人工智能的人工智能
背景情况:
- 生成型人工智能 (GenAI) 工具越来越普遍.
- 了解GenAI的青少年采用和使用模式对于评估心理健康影响至关重要.
- 目前关于青少年使用GenAI的数据有限.
研究的目的:
- 描述美国年轻人使用GenAI应用程序的采用率和时间.
- 为了确定GenAI应用使用的年龄相关差异.
- 分析GenAI使用的时间模式 (例如,放学后,夜间).
主要方法:
- 采用美国家长监控应用程序 (Aura应用程序) 的数据进行横截面研究.
- 4-17岁的年轻人从智能设备使用中被动感知数字行为.
- 分析了2024年9月至2025年4月期间收集的匿名数据.
主要成果:
- 在6488名受访青年中,31.9%使用GenAI应用程序.
- 收养率在老年青少年 (15-17岁,50.4%) 中最高,但在年轻人群体中也是显著的.
- 虽然平均每日使用时间很低 (中位数为0.18分钟),但有一小部分用户使用时间很长 (每天超过40分钟).
结论:
- GenAI应用程序的使用在美国年轻人中显示出很大的差异,青少年参与度很大.
- 一小部分年轻人表现出大量的GenAI使用模式.
- 未来的研究应该探索GenAI使用的个体差异,以了解发育效应.
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