人与计算机互动功能融入行为健康 mHealth 应用程序:系统搜索
Ann Futterman Collier1, Shelby Hagemann2, Susan Brown Trinidad3
1Research Department, Southcentral Foundation, Anchorage, AK, United States.
JMIR formative research
|June 30, 2023
概括
行为健康应用程序往往缺乏用户参与,导致用户停止使用. 提高应用程序的互动性,特别是与人-人工智能功能,可能会提高用户满意度和治疗价值.
科学领域:
- 数字健康数字健康
- 人与计算机的互动.
- 行为科学是一种行为科学.
背景情况:
- 许多行为健康应用程序的用户保留率很低,限制了它们的有效性.
- 增加用户交互类型可能会提高参与度和应用程序粘性.
研究的目的:
- 系统地对行为健康应用程序中的用户交互进行分类.
- 确定互动性增加是否与用户满意度和应用程序指标相关.
主要方法:
- 使用修改后的PRISMA方法识别了76个具有交互功能的行为健康应用程序.
- 对于6种类型的人机交互性,分析了34个应用程序.
- 收集了用户评分和应用程序可见性数据.
主要成果:
- 应用程序平均有2.53个互动功能,其中人对数据 (100%) 和人对算法 (44.2%) 是最常见的.
- 人与人工智能的互动性是最不常见的 (20.5%).
- 互动功能与用户评分或应用程序可见性之间没有发现显著的关联.
结论:
- 行为健康应用程序应该包含更多多样化的互动功能,以利用智能手机的功能.
- 通过多样化的互动来增加用户参与,可以最大限度地提高治疗效益.
- 开发人员应该探索更广泛的交互方式,以提高应用程序粘性和用户结果.
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