Detecting Social Interactions in Working Environments Through Sensing Technologies

  • Juan Antonio Álvarez-García
  • Álvaro Arcos García
  • Stefano Chessa
  • Luigi Fortunati
  • Michele Girolami
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 476)


The knowledge about social ties among humans is important to optimize several aspects concerning networking in mobile social networks. Generally, ties among people are detected on the base of proximity of people. We discuss here how ties concerning colleagues in an office can be detected by leveraging on a number of sociological markers like co-activity, proximity, speech activity and similarity of locations visited. We present the results from two data gathering campaigns located in Italy and Spain.


Social network analysis Computational social science Smart office 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Girolami, M., Chessa, S., Caruso, A.: On Service Discovery in Mobile Social Networks: Survey and Perspectives. Computer Networks 88, 51–71 (2015)CrossRefGoogle Scholar
  2. 2.
    Vanini, S., et al.: Modeling social interactions in real work environments. In: Proc. 6th International Workshop on Hot Topics in Planet-Scale Measurement. ACM (2015)Google Scholar
  3. 3.
    Do, T.M.T., Gatica-Perez, D.: Human interaction discovery in smartphone proximity networks. Personal and Ubiquitous Computing 17(3), 413–431 (2013)CrossRefGoogle Scholar
  4. 4.
    Eagle, N., Pentland, A.: Reality mining: sensing complex social systems. Personal and Ubiquitous Computing 10(4), 255–268 (2006)CrossRefGoogle Scholar
  5. 5.
    Matic, A., Osmani, V., Mayora-Ibarra, O.: Analysis of social interactions through mobile phones. Mobile Networks and Applications 17(6), 808–819 (2012)CrossRefGoogle Scholar
  6. 6.
    Junker, H., et al.: Gesture spotting with body-worn inertial sensors to detect user activities. Pattern Recognition 41(6), 2010–2024 (2008)MathSciNetCrossRefzbMATHGoogle Scholar
  7. 7.
    Wyatt, D., et al.: Inferring colocation and conversation networks from privacy-sensitive audio with implications for computational social science. ACM Trans. on Int. Systems and Technology (TIST) 2(1), 7 (2011)Google Scholar
  8. 8.
    Lane, N.D., et al.: A survey of mobile phone sensing. Communications Magazine, IEEE 48(9), 140–150 (2010)CrossRefGoogle Scholar
  9. 9.
    Stopczynski, A., Sapiezynski, P., Pentland, A., Lehmann, S.: Temporal fidelity in dynamic social networks. Eur. Phys. J. B 88, 249 (2015)CrossRefGoogle Scholar
  10. 10.
    Do, T.M.T., Gatica-Perez, D: Groupus: smartphone proximity data and human interaction type mining. In: 15th Sym. on Wearable Computers (ISWC) (2011)Google Scholar
  11. 11.
    Hall, E.T.: Proxemics: The study of man’s spatial relations (1962)Google Scholar
  12. 12.
    Banerjee, N., et al.: Virtual compass: relative positioning to sense mobile social interactions. In: Pervasive Computing, pp. 1–21. Springer, Heidelberg (2010)Google Scholar
  13. 13.
    Onnela, J.-P., Waber, B.N., et al.: Using sociometers to quantify social interaction patterns, Scientific Report 4 (2014)Google Scholar
  14. 14.
    Peschl, M.F., Fundneider, T.: Designing and enabling spaces for collaborative knowledge creation and innovation: From managing to enabling innovation as socio-epistemological technology. Computers in Human Behavior 37, 346–359 (2014)CrossRefGoogle Scholar
  15. 15.
    Dimotakis, N., Scott, B.A., Koopman, J.: An experience sampling investigation of workplace interactions, affective states, and employee well-being. Journal of Organizational Behavior 32(4), 572–588 (2011)CrossRefGoogle Scholar
  16. 16.
    Adamic, L., Adar, E.: Friends and neighbors on the web. Social Networks 25(3), 211–230 (2003)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Juan Antonio Álvarez-García
    • 1
    • 3
  • Álvaro Arcos García
    • 3
  • Stefano Chessa
    • 1
    • 2
  • Luigi Fortunati
    • 1
    • 2
  • Michele Girolami
    • 1
    • 2
  1. 1.Department of Computer ScienceUniversity of PisaPisaItaly
  2. 2.Italian National Council of Research (CNR-ISTI)PisaItaly
  3. 3.Computer Languages and Systems DepartmentUniversity of SevilleSevilleSpain

Personalised recommendations