Thank you to everyone who contributed to DeviceAnalyzer. We regretfully announce that the project is now closed and we are no longer accepting new users or new requests for the dataset.
Here are some publications so far using Device Analyzer data:
- Daniel Wagner, Andrew Rice and Alastair Beresford, Device Analyzer: Understanding smartphone usage, 10th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, Tokyo, Japan, December 2013 [pdf]
- Daniel Wagner, Andrew Rice and Alastair Beresford, Device Analyzer: Large-scale mobile data collection, Big Data Analytics workshop (in conjunction with ACM Sigmetrics 2013), Pittsburgh, PA, USA, June 2013 [pdf]
- Ning Ding, Daniel Wagner, Xiaomeng Chen, Abhinav Pathak, Y. Charlie Hu, Andrew Rice, Characterizing and Modeling the Impact of Signal Strength on Smartphone Energy Consumption, Proceedings of the ACM SIGMETRICS/international conference on Measurement and modeling of computer systems, Pittsburgh, PA, USA, June 2013 [pdf]
- Daniel T. Wagner, Andrew Rice and Alastair R. Beresford. Device Analyser. In HOTMOBILE 2011 12th Workshop on Mobile Computing Systems and Applications, Mar 2011. [pdf],[poster]
Other research projects
If you are interested in Device Analyzer the following research projects may interest you:
- Portolan collects signal coverage and measures connectivity to create a map of the internet. Developed at the University of Pisa.
- Carat analyses mobile usage and gives recommendations on how to lower battery consumption. Developed at UC Berkeley.
- Open Signal creates mobile signal coverage maps separate for each carrier.
- pressureNET tracks atmospheric pressure changes over time using the barometer in participants' Android devices for meteorological research.
- Memorit is a contextual reminder app that collects social data, both proximity and online data to understand pervasive social context, in the Proximates project at Lund University.