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A personal visual analytics on smartphone usage data

Published: 01 August 2017 Publication History

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.

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Cited By

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  • (2022)Survey on Visual Analysis of Event Sequence DataIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.310041328:12(5091-5112)Online publication date: 1-Dec-2022
  • (2019)Enhancing statistical chartsJournal of Visualization10.1007/s12650-019-00569-222:4(819-832)Online publication date: 2-Aug-2019

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Information

Published In

cover image Journal of Visual Languages and Computing
Journal of Visual Languages and Computing  Volume 41, Issue C
August 2017
141 pages

Publisher

Academic Press, Inc.

United States

Publication History

Published: 01 August 2017

Author Tags

  1. Individual behaviors
  2. Personal visual analytics
  3. Personal visualization
  4. Smartphone usage data

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Cited By

View all
  • (2022)Survey on Visual Analysis of Event Sequence DataIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.310041328:12(5091-5112)Online publication date: 1-Dec-2022
  • (2019)Enhancing statistical chartsJournal of Visualization10.1007/s12650-019-00569-222:4(819-832)Online publication date: 2-Aug-2019

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