Abstract
Despite the recent massive popularity of smartphones and their impact on our lifestyles, only few objective studies have been conducted on smartphone usage patterns. In this paper, using a comprehensive smartphone usage logging system (a client app and a server), various statistical analysis results from more than 800 man-days usage logs are presented. The anal-ysis shows 1) significant difference in usage frequency and time statistics among the applica-tions, 2) different application category preferences between addicts and non-addicts, and 3) little usage variation between weekdays and weekends, but higher usage in night time for addicts.
| Original language | English |
|---|---|
| Pages (from-to) | 9-14 |
| Number of pages | 6 |
| Journal | International Journal of Multimedia and Ubiquitous Engineering |
| Volume | 9 |
| Issue number | 6 |
| DOIs | |
| State | Published - 2014 |
Keywords
- Behavior addiction
- Data mining
- Smartphones
- Usage pattern
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