A personal visual analytics on smartphone usage data

Q3 Computer Science

Journal of Visual Languages and Computing Pub Date : 2017-08-01 DOI:10.1016/j.jvlc.2017.03.006

Fan Xiaoping , Peng Yanni , Zhao Ying , Li Yong , Meng Dan , Zhong Zengsheng , Zhou Fangfang , Lu Mingming

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引用次数: 4

Abstract

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 personal visual analytic tool is proposed to develop insights and discover knowledge of personal life 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 study, plenty of interesting patterns are discovered by analyzing the data of two smartphone users with different usage styles. We also conduct a one-month user study on several invited volunteers from our laboratory and acquaintance circle to improve our prototype system based on their feedback.

查看原文本刊更多论文

智能手机使用数据的个人视觉分析

在工作和生活中经常使用智能手机的人的比例正在稳步上升。个人与智能手机之间的互动可以产生大量的使用数据，其中包含关于智能手机用户使用习惯和日常生活的丰富信息。本文提出了一种个人视觉分析工具，用于在智能手机使用数据中深入了解和发现个人生活知识。该工具提供了四个协作的可视化视图和许多交互，以直观地探索智能手机与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。我们还对来自我们实验室和熟人圈子的几位受邀志愿者进行了为期一个月的用户研究，以根据他们的反馈改进我们的原型系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Visual Languages and Computing 工程技术-计算机：软件工程

CiteScore

1.62

自引率

0.00%

发文量

审稿时长

26.8 weeks

期刊介绍： The Journal of Visual Languages and Computing is a forum for researchers, practitioners, and developers to exchange ideas and results for the advancement of visual languages and its implication to the art of computing. The journal publishes research papers, state-of-the-art surveys, and review articles in all aspects of visual languages.