论文标题
对MHealth应用程序的个人数据可视化评论的分析（短论文）
Analysis of Personal Data Visualization Reviews On mHealth Apps (short paper)
论文作者
论文摘要
移动设备，特别是，智能手机在各种跟踪应用程序中都可以轻松快速访问数据可视化。移动健康（MHealth）应用程序使非专家用户可以访问数据可视化，以跟踪其活动和与健康相关的问题，例如心脏跟踪和药物。但是，在MHealth应用程序中对用户体验或对数据可视化的感知没有完成任何工作。应用程序评论为研究人员提供了间接的锚点，可以检查非专家用户如何感知并与数据可视化相互作用并确定关键挑战和建议。本文介绍了有关在Google Play商店250个MHealth应用程序数据集上报告的数据可视化的应用程序评论的分析。我们确定了与数据可视化有关的8,406条评论。 919个中性评论，1,557个负面评论和5,930个积极评论。从分析用户评论，功能要求原来是这些应用程序评论中最常见的问题，其次是外观和感觉，然后是数据问题。一组完整的数据可视化似乎是MHealth应用程序最受欢迎的功能。我们使用这些注释在开发移动数据可视化时制定分类和数据可视化指南。
Mobile devices, specifically, smartphones proved easy and quick access to data visualisations throughout various tracking apps. Mobile health (mHealth) apps have given non-expert users access to data visualisation to track their activities and health-related issues such as heart tracking and medication. However, no work is done on user experience or perception of data visualisations in mHealth apps. App reviews offer an indirect anchor for researchers to examine how non-expert users perceive and interact with data visualisations and identify the key challenges and recommendations. This paper introduces an analysis of app reviews on data visualisations reported on a dataset of 250 mHealth apps on the Google Play Store. We identified 8,406 comments related to data visualisations. 919 neutral comments, 1,557 negative comments and 5,930 positive comments. From analysing the user reviews, functional requirements turned out to be the most common problem across these app reviews, followed by the look and feel and then data problems. A complete set of data visualisations seem to be the most well-received capability of mHealth apps. We used these comments to develop classification and data visualisation guidelines when developing mobile data visualisations.
