使用移动设备的个人日常可视化

N. Correia, Cristiano Lopes, J. Hawkey, Sofia Oliveira, Olivier Perriquet
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引用次数: 4

摘要

这个演示展示了在timemmachine项目中完成的工作,其目标是使用移动应用程序探索日常生活中的模式。这个移动应用程序捕获GPS数据,并使用这些信息提供使用几个可视化的用户行为的主观地图。该项目采用严格的数据捕获和处理方法,目的是为用户提供有意义的可视化。由于时间是考虑的主要变量,因此可视化不同于常见的基于地图的表示。例程通过基于时间的变量表示,例如持续时间和频率(对于给定地点或一组地点),并且还提供了考虑过去发生的事情的未来一瞥。演示展示了当前版本的移动应用程序和用于提取信息或原型附加可视化的基于桌面的工具。
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Personal routine visualization using mobile devices
This demonstration presents work done in the TimeMachine project with the goal to explore patterns in everyday life using a mobile application. This mobile application captures GPS data and uses this information to provide a subjective map of the user behavior using several visualizations. The project resorts to a rigorous data capture and processing approach with the goal of providing meaningful visualizations to the users. The visualizations depart from common map based representations as time is the main variable that is considered. Routines are represented through time based variables such as duration and frequency (for a given place or set of places) and a glimpse of the future is also provided considering what happened in the past. The demonstration presents the current version of the mobile application and desktop based tools used to extract information or prototype additional visualizations.
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