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

机译:一种探索智能手机使用量数据中单个行为的视觉分析方法

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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:经常使用他们的智能手机在工作和生活中的个人百分比正在稳步增加。个人和智能手机之间的互动可以产生大量的使用数据,其中包含有关智能手机所有者使用习惯及其日常生活的丰富信息。在本文中,提出了一种视觉分析工具来发现和理解智能手机使用数据中的单独行为模式。在此工具中提供了四种合作可视化视图和许多交互,以直观地探索智能手机和用户之间的各种交互事件的时间特征,事件类型之间的分层关联以及大规模事件序列的详细分布。在案例研究中,通过分析具有不同使用样式的两个智能手机用户的数据来发现大量有趣的模式。

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