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政府的人工智能员工如何塑造公众参与感知:深"申晓一"的证据
Xiaodi Jiang1, Yuanyuan Guo2, Zehui Yu3
1School of Public Administration, Shandong University of Finance and Economics, Jinan, China.
Acta psychologica
|February 24, 2026
概括
政府人工智能通过情感,认知和文化因素影响公众参与感知. 情感评估是关键,而清晰的信息和系统可用性影响了参与度,特别是在集体主义社会.
科学领域:
- 公共管理 公共管理
- 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:
- 政府的人工智能采用正在增加,需要了解其对公众参与的影响.
- 公众参与感知对于人工智能支持的治理的合法性和有效性至关重要.
- 现有的研究往往忽视了将人工智能服务体验与公众参与联系起来的心理机制.
研究的目的:
- 调查政府人工智能如何影响公众参与感知.
- 确定这种影响背后的心理机制 (情绪,认知,文化).
- 探索像集体主义这样的文化维度的调节作用.
主要方法:
- 调查数据来自深的"沈晓"AI平台的470名用户.
- 在分析中整合技术,情感和文化视角.
- 统计建模以检查感知变量与公众参与之间的关系.
主要成果:
- 情感评估显著提高了公众参与感知.
- 清晰,响应和透明的服务信息感知可以加强参与,特别是在高度集体主义的环境中.
- 感知到的服务系统摩擦减少了在低集体主义环境中的参与感知.
- 服务质量感知调节了整体用户体验和参与感知.
结论:
- 情绪评估是人工智能支持的公众参与的关键心理因素.
- 服务信息感知作为一种文化影响的认知资源.
- 服务系统的感知可以减少用户代理,特别是在个性化的环境中.
- 人工智能治理的有效性取决于理解用户的心理和文化背景.
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