使用谷歌分析与健康信息搜索模型来评估健康信息网站的设计
Patrick Cheong-Iao Pang1, Megan Munsie2,3, Shanton Chang4
1Faculty of Applied Sciences, Macao Polytechnic University, China.
Studies in health technology and informatics
|January 25, 2024
概括
使用理论模型分析健康信息网站数据,可以更好地理解用户的行为. 这种方法根据不同的用户配置文件来设计和评估网站,以便更好地获取信息.
科学领域:
- 医疗信息学 医疗信息学
- 人与计算机的交互
- 信息科学 信息科学 信息科学
背景情况:
- 健康信息网站是寻找健康数据的用户的重要资源.
- 像Google Analytics这样的网络分析工具提供用户数据,但缺乏行为上下文.
- 在描述性网络分析和理解健康信息搜索行为之间存在差距.
研究的目的:
- 为了弥合网络分析数据和健康信息搜索行为理论之间的差距.
- 通过理论镜头来解释谷歌分析数据,以获得更深入的见解.
- 展示用户行为可视化如何为健康网站设计和评估提供信息.
主要方法:
- 利用一个理论模型来解释谷歌分析数据.
- 基于集成理论模型可视化用户行为.
- 通过不同的用户配置文件分析网站设计效率和用户评估.
主要成果:
- 解释的网络分析数据可以更好地了解医疗网站上的用户行为.
- 可视化显示了与特定理论构造相关的用户交互模式.
- 该研究展示了基于用户配置文件的健康网站评估的框架.
结论:
- 将理论模型与网络分析集成,可以增强对用户行为的解释.
- 网站设计和健康信息网站的评估可以通过考虑用户配置文件来显著改进.
- 这种方法为用户如何与在线健康信息互动提供了更细致的理解.
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