TY - JOUR AU - Morrison, Cecily AU - Doherty, Gavin PY - 2014 DA - 2014/11/13 TI -通过可视化日志数据分析基于web干预平台的参与性JO - J Med Internet Res SP - e252 VL - 16 IS - 11kw -参与性KW -日志数据分析KW -数据可视化KW -基于web干预AB -背景:参与性已经成为基于web干预发展中一个重要的跨领域关注。有人呼吁建立一种更严格的方法来设计基于网络的干预措施，以增加参与的数量和质量。一种方法是使用日志数据来更好地理解参与过程和使用模式。然而，一个重要的挑战在于组织日志数据进行生产分析。目的:我们的目的是对日志数据可视化的使用进行初步探索，以增强对基于web的干预的理解。方法:我们应用探索性顺序数据分析来突出日志数据的顺序方面，如时间或模块数量，以提供对参与度的洞察。在应用了许多处理步骤之后，从日志数据生成了一系列可视化结果。然后，我们检查了这些可视化的有效性，以了解个人用户的参与度和用户群组的参与度。创建的可视化用两个数据集来说明，这些数据来自使用SilverCloud平台的研究:(1)一个小型的、详细的数据集，包含19个采访(n=19);(2)一个大型数据集(n=326)，包含44,838个记录事件。结果:我们提出了基于web的干预的用户参与的四种探索性可视化，包括导航图、条纹图、开始-结束图和下一步行动热图。 The first represents individual usage and the last three, specific aspects of cohort usage. We provide examples of each with a discussion of salient features. Conclusions: Log-data analysis through data visualization is an alternative way of exploring user engagement with Web-based interventions, which can yield different insights than more commonly used summative measures. We describe how understanding the process of engagement through visualizations can support the development and evaluation of Web-based interventions. Specifically, we show how visualizations can (1) allow inspection of content or feature usage in a temporal relationship to the overall program at different levels of granularity, (2) detect different patterns of use to consider personalization in the design process, (3) detect usability issues, (4) enable exploratory analysis to support the design of statistical queries to summarize the data, (5) provide new opportunities for real-time evaluation, and (6) examine assumptions about interactivity that underlie many summative measures in this field. SN - 1438-8871 UR - //www.mybigtv.com/2014/11/e252/ UR - https://doi.org/10.2196/jmir.3575 UR - http://www.ncbi.nlm.nih.gov/pubmed/25406097 DO - 10.2196/jmir.3575 ID - info:doi/10.2196/jmir.3575 ER -