根据用户配置文件个性化健康的移动应用程序:来自范围审查的偏好矩阵
Laëtitia Gosetto1,2, Gilles Falquet1, Fréderic Ehrler3
1Geneva School of Economics and Management, University of Geneva, Geneva, Switzerland.
PLOS digital health
|August 19, 2025
概括
使用用户配置文件个性化移动健康应用程序可以改善健康行为变化. 本次审查确定了有效,定制的干预措施的关键机制和用户配置文件,以促进更健康的生活方式.
科学领域:
- 数字健康数字健康
- 行为科学 行为科学
- 人与计算机的交互
背景情况:
- 不健康的行为是导致全球死亡率和发病率的主要原因.
- 移动健康 (mHealth) 应用程序为促进更健康的生活方式提供了一个有希望的途径.
- 个性化移动健康干预可以显著提高用户参与度和干预效率.
研究的目的:
- 引导对健康行为改变的mHealth干预措施的个性化.
- 为特定的用户配置文件定义最佳机制.
- 综合现有的关于在行为改变应用程序中个性化的研究.
主要方法:
- 进行了对在线数据库的范围审查.
- 确定了2008年至2024年之间发表的关于个性化,行为改变应用程序和mHealth机制的文章.
- 提取的机制和用户配置文件被分类并分析关系.
主要成果:
- 从1806个已识别的文章中保留了18个,详细介绍了4个用户配置文件 (包括人格和游戏玩家类型) 和21个机制 (行为改变技术,游戏化,应用程序功能).
- 在用户配置文件和机制之间发现了有限的偏好关系 (51%的覆盖率),强调了社会机制和自我有效性理论.
- "五大"和"六极度"级别的用户配置文件占据了鉴定关系的很大一部分.
结论:
- 个性化移动健康干预需要了解用户配置文件和特定机制之间的相互作用.
- 社会机制和基于自我有效性的技术对于移动医疗的说服力系统设计至关重要.
- 未来的研究应该专注于完成关系矩阵,并为定制的移动健康战略开发可靠的人格评估.
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