University of Cambridge

Device Analyzer

Get statistics about your phone use and contribute to scientific research!
Device Analyzer works on Android devices running Android 2.1 or higher.

Device Analyzer collects usage statistics in the background while you use your phone.
This data is stripped of personally identifying information as best as possible while preserving useful information. Periodically the recorded data is uploaded to our server at the University of Cambridge, where we will aggregate it with other people's data and draw inferences from the patterns that emerge.

We want to extend a special thank you to all 21951 contributors to the project.
You can see an alphabetical list of those that supplied their name by clicking here.

What's in for me?

Why do we collect your data?
Perhaps surprisingly, it is not well understood what people do with their smart phones. Which of the many features do you use? And how often? Do you often miss calls? How many text messages do you send? Mobile phone carriers know your calling patterns but often don't make them available to manufacturers. They in turn conduct interviews and surveys to see what people like about their phones and what they use them for, but these are always limited to a relatively small group of people.

Device Analyzer performs rigorous, automatic collection. It doesn't get tired after a week of recording what you have done and can provide a large and detailed data set covering a broad audience. We will use this data set to make recommendations for the improvement of future smart phones, extract patterns and trends and will let you benefit from our insights with cool new statistics and recommendations based on what other people do.

Here are some publications so far using Device Analyzer data:

With your permission, we would like to share your data set with other researchers worldwide so that they can get even more from it! If you don't want that you can just let us know with a single click and your data will only be used within the University of Cambridge.

What is collected?
Here is an overview of the types of data we collect:

A detailed document containing all data collected is available here.

Obtaining a copy of the dataset

We now have over 100 billion records of Android smartphone usage from over 17,000 devices across the globe. Many of our contributors have agreed to share much of their data with other researchers, and in this competition we invite researchers from around the world to put this data to good use. The dataset is available for free for both academic and industrial researchers. The only restriction we place is to prohibit efforts to directly identify any individual within the dataset.

Phase 1 - access sample dataset: please email us with your your name and a brief description of your idea. We will email back a download link for the data and also any advice we have to offer on how to use the data to help solve the problem or idea you have.

Phase 2 - full dataset: Access to the full dataset requires you to provide a summary of your idea and sign the terms and conditions. Please email us with your name and a description of your idea in less than 250 words. We will email back any advice we have to offer on how to use the data to help solve the problem or idea you have along with the terms and conditions for you to sign. Once we have received your signed terms and conditions, we will enable access to the full archive of data.

So far we have shared data with researchers from: Xerox, Hong Kong University of Science and Technology, IBM, Fudan University (China), University of Glasgow (UK), Intel, Parc, University of Luxembourg, Hasselt University (Belgium), Institute for Research in IT and Random Systems (France), Universitat Rovira i Virgili (Catalonia), Telecom Sudparis, Indiana University (USA), Columbia University (USA), Indian Institute of Technology Roorkee, Microsoft, Nagoya University (Japan), Universität Osnabrück (Germany), Slovenská technická univerzita v Bratislave (Slovakia), Bedarra Research Labs, Universidade Federal de Minas Gerais (Brasil), University of South Australia, Stevens Institute of Technology (USA), Tata Consultancy Services, Uppsala University (Sweden), University of Maryland (USA), Indraprastha Institute of Information Technology Delhi (India), University of Colorado Denver (USA), Korea Advanced Institute of Science and Technology, Technische Universität Berlin, (Germany), National Chengchi University (Taiwan), University of California Davis (USA), The University of Milan (Italy), Luleå University of Technology (Sweden), Royal Melbourne Institute of Technology (Australia), Imperial College (UK), University of Texas Arlington (USA), Cardiff University (UK), Universidad de Sevilla (Spain), Central South University of China, Alcatel-Lucent, AT&T, Nanjing University (China), PoznaƄ University of Economics (Poland), Samsung Research (USA), CICESE (Mexico), Università degli Studi di Parma (Italy), University of Luxembourg, Technicolor, Aalto University (Finland), Birkbeck University of London (UK), NIC Chile Research Labs, KTH Royal Institute of Technology (Sweden), North Carolina State University (USA), Nanyang Technological University (Singapore), Telefonica Research and Development (Spain), UC Irvine (USA), NUS Singapore University, Ohio State University (USA), Università degli Studi di Pisa (Italy), Colorado School of Mines (USA), Carnegie Mellon University (USA), ERNET (India), Università Ca' Foscari Venezia (Italy), NEC Labs (Europe), Blekinge Tekniska Högskola (Sweden), Karlsruhe Institute of Technology (Germany), University of Groningen (Netherlands), RWTH Aachen University (Germany), MIT (USA), Arizona State University (USA), Hanyang University (Korea), University at Buffalo (USA), Zhejiang University (China), Distributed Artificial Intelligence Laboratory (Germany), Old Dominion University (USA), Die Johannes Kepler Universität in Linz (Austria), Pitney Bowes, University of Massachusetts Lowell (USA), KDDI R&D Laboratories (Japan), The University of Tokyo (Japan), Hochschule RheinMain (Germany), Singapore Management University, Cornell University (USA), UC Berkeley (USA), University of Michigan (USA), University of Lancaster (UK), Dartmouth College (USA), NICTA (Australia), State University of New York (Korea), Liverpool John Moores University (UK), University of Oulu (Finland), Intersec Group, Spotify, TÉLUQ (Canada), Technische Universität Darmstadt (Germany), The University of Melbourne (Australia), University of South Carolina (USA), University of Helsinki (Finland), Cisco, Ben-Gurion University of the Negev (Israel), CETYS Universidad Baja California (Mexico)

Other research projects
If you are interested in Device Analyzer the following research projects may interest you:

You can reach the authors of Device Analyzer for comments or suggestions at dtg-android at cl.cam.ac.uk

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