hintzed / mobile-device-usage-processing

Code used for a large-scale, long-term analysis of mobile device usage characteristics

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A Large-Scale, Long-Term Analysis of Mobile Device Usage Characteristics

This repository contains the code used for processing and analyzing 18TB of mobile device usage data from the Device Analyzer project.

Results have been published in:

Daniel Hintze, Philipp Hintze, Rainhard D. Findling, René Mayrhofer: A Large-Scale, Long-Term Analysis of Mobile Device Usage Characteristics, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 1, no. 2, June 2017

Daniel Hintze, Rainhard D. Findling, Sebastian Scholz, René Mayrhofer: Mobile Device Usage Characteristics: The Effect of Context and Form Factor on Locked and Unlocked Usage, Proceedings of the 12th International Conference on Advances in Mobile Computing and Multimedia (MoMM 2014), December 8-10, Kaohsiung, Taiwan, Pages 105-114

Daniel Hintze, Rainhard D. Findling, Muhammad Muaaz, Sebastian Scholz, René Mayrhofer: Diversity in Locked and Unlocked Mobile Device Usage, Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication (UbiComp 2014), September 13-17, Seattle, USA, Pages 379-384.
UbiComp/ISWC 2014 Programming Competition - Winning Entry

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Code used for a large-scale, long-term analysis of mobile device usage characteristics


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