增强青少年的运动动机管理与生成AI人形化:技术接受和自我有效性的链式介导模型
Kaiyuan Wang1, Hongxin Li1, Guo Yu2
1School of Economics and Management, Shanghai University of Sport, Shanghai, China.
Frontiers in psychology
|December 5, 2025
概括
人工智能的人形显著提高了青少年的运动动机. 这种效应是由技术接受和自我效能调解的,突出了促进青少年体育活动的心理途径.
科学领域:
- 运动科学 运动科学 运动科学
- 人与计算机的交互
- 发展心理学 发展心理学
背景情况:
- 数字技术在青少年体育发展中发挥着至关重要的作用.
- 了解影响青少年运动动机的因素对于公共健康至关重要.
研究的目的:
- 调查人工智能人形主义与青少年运动动机之间的关联.
- 探索技术接受和自我效能在这种关系中的调解作用.
主要方法:
- 调查数据从1018名青少年 (年龄在6-18岁) 收集.
- 使用了人工智能人形化,生成人工智能接受 (GAIA),一般自我效能度量 (GSES) 和体力活动动机度量 (MPAM-R) 的尺度.
主要成果:
- 人工智能人形主义与青少年的体育活动动机有显著的积极关联.
- 技术接受和自我有效性分别充当了独立和链中介者的角色.
结论:
- 这项研究阐明了将人工智能人形化与青少年运动动机联系起来的心理机制.
- 研究结果提供了理论见解和实际指导,用于利用人工智能来增强青少年的体育活动.
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