在生活方式和行为改变支持中,以人为中心的观点对混合人类人工智能的研究挑战
Chenxu Hao1, Susanne Uusitalo2, Caroline Figueroa1,3
1Delft University of Technology, Delft, Netherlands.
Frontiers in digital health
|April 4, 2025
概括
开发混合智能 (HI) 系统以改变健康行为需要以人为中心的方法. 解决用户背景,评估和伦理方面的挑战对于有效的AI驱动的生活方式支持至关重要.
科学领域:
- 人与计算机的交互
- 人工智能的人工智能
- 行为科学 行为科学
背景情况:
- 智能系统越来越多地用于健康和福祉.
- 以前的研究强调了人工智能对糖尿病生活方式管理的挑战.
- 使用混合智能 (HI) 的以人为中心的方法是必要的.
研究的目的:
- 确定HI系统在行为变化中的挑战和未来研究方向.
- 从个人,评估和道德角度探索挑战.
- 强调发展HI的跨学科性质,以改变行为.
主要方法:
- 透视性论文概述了HI在行为改变方面的挑战.
- 分析个人层面,评估层面和道德考虑.
- 确定未来的研究方向.
主要成果:
- 开发HI用于行为变化提出了个人层面的挑战 (例如,用户环境).
- 评估层面的挑战包括定义成功标准和管道.
- 伦理方面的影响需要仔细考虑.
结论:
- 以用户为中心的HI系统设计过程带来了新的挑战.
- 开发有效的HI来改变行为需要跨学科的合作.
- 需要进一步的研究来解决HI在健康行为变化中的多方面的挑战.
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