在数字健康中探索生成AI的用户体验:快速回顾
Liesbeth van den Berg1, Thomas Engelsma1, Linda Dusseljee-Peute1
1Amsterdam UMC location University of Amsterdam, Department of Medical Informatics, eHealth Living and Learning Lab, Amsterdam, the Netherlands.
Studies in health technology and informatics
|May 13, 2025
概括
数字健康中的生成人工智能提供了潜力,但需要仔细研究. 研究表明,不同的人工智能系统的用户体验各不相同,这凸显了未来研究的必要性,以确保信任和有效性.
科学领域:
- 数字健康数字健康
- 人工智能的人工智能
- 人与计算机的交互
背景情况:
- 在数字健康中整合生成性人工智能既带来了机遇,也带来了挑战.
- 2022年推出的ChatGPT加速了这些工具的开发和研究.
- 了解用户体验对于成功采用和改善健康结果至关重要.
研究的目的:
- 在数字健康工具中调查生成性AI的用户体验.
- 分析在像ChatGPT这样的先进AI模型出现后进行的研究结果.
主要方法:
- 采用了快速审查方法.
- 分析中包括了10篇相关论文.
- 研究的重点是数字健康环境中使用生成AI的用户体验.
主要成果:
- 确定了三种类型的生成人工智能系统:ChatGPT特定的,定制的和定制的.
- 在用户体验测量和跨研究报告的结果中观察到显著差异.
- 研究设计和指标的变化使直接比较变得复杂.
结论:
- 新的研究方向对于优化数字健康中的生成人工智能至关重要.
- 未来的研究必须优先考虑确保积极的用户体验和建立信任.
- 生成性AI在数字健康中的有效性需要进一步严格调查.
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