面向以人为中心的人工智能为用户的数字福祉:系统性审查,综合和未来方向
1Seidenberg School of Computer Science and Information Systems, Pace University, New York City, NY, United States.
JMIR human factors
|September 10, 2025
概括
这项研究综合了关于人工智能 (AI) 和数字福祉的研究,以创建以人为中心的AI模型. 该模型指导了人工智能系统的设计,通过了解人工智能功能如何影响用户反应来促进用户福祉.
科学领域:
- 人与计算机的交互
- 人工智能伦理学 人工智能伦理学
- 数字幸福研究 数字幸福研究
背景情况:
- 信息和通信技术和人工智能越来越多地融入日常生活.
- 越来越多地关注学术和工业领域的数字福祉.
- 关于人工智能数字福利的碎片化观点阻碍了以人为中心的设计.
研究的目的:
- 通过系统的文献综述,综合数字福利的不同观点.
- 为以人为中心的人工智能系统开发一个全面的模型,促进数字福祉.
- 利用刺激-有机体-反应框架指导模型开发.
主要方法:
- 对240个多学科出版物的系统审查.
- 探索人工智能,数字福利和以人为中心的设计的交集.
- 使用刺激-生物体-反应模型识别关键主题,框架和方法.
主要成果:
- 开发一个以人为中心的人工智能 (AI) 模型,以实现数字福利.
- 概念框架巩固了设计人工智能的知识,以支持数字福祉和影响行为.
- 整合跨学科的见解,以了解AI特征 (刺激) 如何影响用户状态 (生物) 并导致变化 (反应).
结论:
- 通过以人为中心的AI系统来促进数字福祉的总体框架.
- 通过为研究人员和从业人员提出一个统一的模型来解决分散的文献问题.
- 以人为中心的AI为数字福祉模型为未来的研究和实际应用提供了基础.
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