Social Serendipity: Mobilizing Social Software
IEEE Pervasive Computing
Using visualizations to increase compliance in experience sampling
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
PhoneLab: A Large Programmable Smartphone Testbed
Proceedings of First International Workshop on Sensing and Big Data Mining
LiveLabs: initial reflections on building a large-scale mobile behavioral experimentation testbed
ACM SIGMOBILE Mobile Computing and Communications Review
LiveLabs: building an in-situ real-time mobile experimentation testbed
Proceedings of the 15th Workshop on Mobile Computing Systems and Applications
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Over the past few years, smartphones have emerged as one of the most popular mechanisms for accessing content across the Internet driving considerable research to improve wireless performance. A key foundation for such research efforts is the proper understanding of user behavior. However, the gathering of live smartphone data at scale is often difficult and expensive. The focus of this paper is to explore the lessons learned from a two year study of two hundred smart phone users at the University of Notre Dame. In this paper, we offer commentary with regards to the entire process of the study covering aspects including funding considerations, technical architecture design, lessons learned, and recommendations for future efforts gathering live user data.