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Lessons learned from the netsense smartphone study

Published:16 August 2013Publication History

ABSTRACT

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.

References

  1. F. B. Abdesslem, I. Parris, and T. Henderson. Reliable online social network data collection. In Computational Social Networks, pages 183--210, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  2. N. Christakis and J. Fowler. Social contagion theory: Examining dynamic social networks and human behavior. In Arxiv Preprint arXiv:1109.5235, 2011.Google ScholarGoogle Scholar
  3. N. Eagle and A. Pentland. Social serendipity: Mobilizing social software. Pervasive Computing, 4(2):28--34, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. G. Hsieh, I. Li, A. Dey, J. Forlizzi, and S. E. Hudson. Using visualizations to increase compliance in experience sampling. In Proc. of Ubicomp, pages 164--167, New York, NY, USA, 2008. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. J. K. Laurila, D. Gatica-Perez, I. Aad, J. Blom, O. Bornet, T.-M.-T. Do, O. Dousse, J. Eberle, and M. Miettinen. The mobile data challenge: Big data for mobile computing research. In Proc. of Nokia Mobile Data Challenge Workshop, 2012.Google ScholarGoogle Scholar
  6. S. Liu and A. Striegel. Accurate extraction of face-to-face proximity using smartphones and Bluetooth. In Proc. of WiMAN, pages 1--5, 2011.Google ScholarGoogle ScholarCross RefCross Ref
  7. A. P. Nathan Eagle and D. Lazer. Inferring social network structure using mobile phone data. Proc. of the National Academy of Sciences (PNAS), 106(36):15274--15278, September 2009.Google ScholarGoogle Scholar

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      • Published in

        cover image ACM Conferences
        HotPlanet '13: Proceedings of the 5th ACM workshop on HotPlanet
        August 2013
        78 pages
        ISBN:9781450321778
        DOI:10.1145/2491159
        • cover image ACM SIGCOMM Computer Communication Review
          ACM SIGCOMM Computer Communication Review  Volume 43, Issue 4
          October 2013
          595 pages
          ISSN:0146-4833
          DOI:10.1145/2534169
          Issue’s Table of Contents

        Copyright © 2013 ACM

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        New York, NY, United States

        Publication History

        • Published: 16 August 2013

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        HotPlanet '13 Paper Acceptance Rate11of20submissions,55%Overall Acceptance Rate11of20submissions,55%

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