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A visual analytics approach for exploring individual behaviors in smartphone usage data

机译:一种可视化分析方法,用于探索智能手机使用数据中的个别行为

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The percentage of individuals frequently using their smartphones in work and life is increasing steadily. The interactions between individuals and their smartphones can produce large amounts of usage data, which contain rich information about smartphone owners usage habits and their daily life. In this paper, a visual analytic tool is proposed to discover and understand individual behavior patterns in smartphone usage data. Four cooperated visualization views and many interactions are provided in this tool to visually explore the temporal features of various interactive events between smartphones and their users, the hierarchical associations among event types, and the detailed distributions of massive event sequences. In the case studies, plenty of interesting patterns are discovered by analyzing the data of two smartphone users with different usage styles.
机译:在工作和生活中经常使用智能手机的个人比例正在稳步上升。个人与其智能手机之间的交互会产生大量使用情况数据,其中包含有关智能手机所有者的使用习惯及其日常生活的丰富信息。本文提出了一种视觉分析工具,用于发现和理解智能手机使用数据中的个体行为模式。该工具提供了四个协作的可视化视图和许多交互作用,以可视化方式探索智能手机及其用户之间各种交互事件的时间特征,事件类型之间的层次关联以及大规模事件序列的详细分布。在案例研究中,通过分析两个具有不同使用风格的智能手机用户的数据,发现了许多有趣的模式。

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