论文标题
移动健康应用中个人数据可视化的需求和挑战:用户调查
Needs and Challenges of Personal Data Visualisations in Mobile Health Apps: User Survey
论文作者
论文摘要
个人数据可视化已成为成功采用移动健康(M-HEALTH)应用程序的关键贡献者。因此,在使用移动个人数据可视化时了解用户需求和挑战对于确保采用这些应用程序至关重要。本文介绍了用户调查的结果,以了解用户的人口统计,任务,需求和使用移动个人数据可视化的挑战。我们有56个完整的答复。调查的主要发现是:1)51 \%使用多个健康跟踪应用程序来实现其目标; 2)条形图和饼图是查看健康数据的最有利的图表; 3)用户更喜欢使用文本和图表的混合物可视化数据 - 解释至关重要。此外,参与者报告的前三个挑战是:显示的数据过多,文本重叠和可视化无助于信息探索。另一方面,用户的前三个鼓励因素是易于阅读的数据,易于浏览,并且质量数据在图表中显示。此外,乐趣和好奇心是M卫生跟踪应用程序的主要驱动力。最后,根据调查结果,我们提出了数据可视化设计和制定应避免报告挑战并确保用户满意度的准则。在未来的工作中,我们计划将研究背景化,并研究以下M健康领域可视化的数据的痛苦和增益:体育活动,心脏监测,血压,睡眠模式和饮食习惯。
Personal data visualisations are becoming a critical contributor toward the successful adoption of mobile health (m-health) apps. Thus, understanding user needs and challenges when using mobile personal data visualisation is essential to ensuring the adoption of these apps. This paper presents the results of a user survey to understand users' demographics, tasks, needs, and challenges of using mobile personal data visualisations. We had 56 complete responses. The survey's key findings are: 1) 51\% of the users use multiple health tracking apps to achieve their goals/needs; 2) bar charts and pie charts are the most favourable charts to view health data; 3) users prefer to visualise their data using a mix of text and charts - explanation is essential. Furthermore, the top three challenges reported by the participants are: too much data displayed, overlapping text, and visualisations are not helpful in information exploration. On the other hand, users' top three encouragement factors are easy-to-read presented data, easy to navigate, and quality data are shown in the chart. Furthermore, fun and curiosity are the primary drivers of m-health tracking apps. Finally, based on survey results, we propose data visualisation designing and developing guidelines that should avoid the reported challenges and ensure user satisfaction. In future work, we plan to contextualise our study and investigate the pain and gain of data visualised in the following m-health domains: sports activities, heart monitoring, blood pressure, sleeping pattern, and eating habits.