From big smartphone data to worldwide research: The Mobile Data Challenge |
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Authors: | Juha K. Laurila Daniel Gatica-Perez Imad Aad Jan Blom Olivier Bornet Trinh Minh Tri Do Olivier Dousse Julien Eberle Markus Miettinen |
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Affiliation: | 1. Nokia Research Center, Lausanne, Switzerland;2. Idiap Research Institute, Martigny, Switzerland;3. EPFL, Lausanne, Switzerland |
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Abstract: | This paper presents an overview of the Mobile Data Challenge (MDC), a large-scale research initiative aimed at generating innovations around smartphone-based research, as well as community-based evaluation of mobile data analysis methodologies. First, we review the Lausanne Data Collection Campaign (LDCC), an initiative to collect unique longitudinal smartphone dataset for the MDC. Then, we introduce the Open and Dedicated Tracks of the MDC, describe the specific datasets used in each of them, discuss the key design and implementation aspects introduced in order to generate privacy-preserving and scientifically relevant mobile data resources for wider use by the research community, and summarize the main research trends found among the 100+ challenge submissions. We finalize by discussing the main lessons learned from the participation of several hundred researchers worldwide in the MDC Tracks. |
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Keywords: | Mobile Data Challenge Smartphone data collection Human behavior analysis |
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