Social Sensor Web: Towards a Conceptual Framework

  • Salman Qayyum MianEmail author
  • Matti Mäntymäki
  • Jukka Riekki
  • Harri Oinas-Kukkonen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9844)


Sensor technology has become increasingly pervasive, leading to its use in many areas, such as health care and wellness. Current technologies and services are based on one-way connectivity, such that sensors are primarily used to transmit information. Though data generation is essential to the pursuit of meaningful information, having the right information at the right time in the right context is what successfully integrates the social web into real-world situations. This paper extends the concept of the Internet of Things and develops a conceptual framework of the Social Sensor Web that employs sensors to elaborate context-aware information in order to determine an effective approach to social interaction. The paper also highlights the importance of dual connectivity of sensor devices through workshops based on the state of the art. We present five dimensions of the Social Sensor Web that can serve as a guide for designing future health and wellness technologies.


Social web Sensor Monitoring Context awareness Dual connectivity Health Wellness 


  1. 1.
    Aggarwal, C., Abdelzaher, T.: Social sensing. In: Aggarwal, C.C. (ed.) Managing and Mining Sensor Data, pp. 237–297. Springer, New York (2013)CrossRefGoogle Scholar
  2. 2.
    Sellen, A.J., Fogg, A., Aitken, M., Hodges, S., Rother, C., Wood, K.: Do life-logging technologies support memory for the past? An experimental study using sensecam. In: SIGCHI Conference on Human Factors in Computing System, pp. 81–90 (2007)Google Scholar
  3. 3.
    Neff, G., Nafus, D.: Self-Tracking. Essential Knowledge Series. The MIT Press, Cambridge (2016)Google Scholar
  4. 4.
    Oinas-Kukkonen, H., Oinas-Kukkonen, H.: Humanizing the Web, Change and Social Innovation. Palgrave Macmillan, Basingstoke (2013)CrossRefzbMATHGoogle Scholar
  5. 5.
    Sensors: Sensors, convert the measurement into a signal.
  6. 6.
    Antonio, I.: The social Internet of things: from objects that communicate to objects that socialize in the Internet. In: 50th FITCE, University Mediterranea, August 31–September 1 2011 (2011)Google Scholar
  7. 7.
    Aggarwal, C., Abdelzaher, T.: Integrating sensors and social networks. In: Aggarwal, C.C. (ed.) Social Network Data Analytics, pp. 379–412. Springer, New York (2011)CrossRefGoogle Scholar
  8. 8.
    Ahmed, M., Karagiorgou, S., Pfoser, D., Wenk, C.: A comparison and evaluation of map construction algorithms using vehicle tracking data. GeoInformatica 19(3), 601–632 (2015)CrossRefzbMATHGoogle Scholar
  9. 9.
    Google Blog, Google maps and Waze, outsmarting traffic together.
  10. 10.
    Sensor Networks.
  11. 11.
    Kurata, N., Spencer, B.F., Ruiz-Sandoval, M.: Risk monitoring of buildings with wireless sensor networks. Struct. Control Health Monit. 12, 315–327 (2005)CrossRefGoogle Scholar
  12. 12.
    O’Reilly, T., Battelle, J.: Web Squared: Web 2.0 Five years on, Web 2.0 Summit (2009).
  13. 13.
    Schmidt, A.: Context-Aware Computing: Context-Awareness, Context-Aware User Interfaces, and Implicit Interaction. The Encyclopedia of HCI, 2nd edn. (2013)Google Scholar
  14. 14.
    Tamminen, et al.: Understanding mobile context. Pers. Ubiquit. Comput. 8, 135–143 (2004)CrossRefGoogle Scholar
  15. 15.
    FitBit Products: Surge, One, and Aria (2016).
  16. 16.
    Spire Product: Discover your calm (2016).
  17. 17.
    BiiSafe Product: More than a key finder (2016).
  18. 18.
    Orszag, P.R., Ellis, P.: The challenge of rising healthcare costs – a view from the congressional budget office. N. Engl. J. Med. 357, 1793–1795 (2007)CrossRefGoogle Scholar
  19. 19.
    Lymberis, A., Dittmar, A.: Advanced wearable health systems and applications - research and development efforts in the European Union. IEEE Eng. Med. Biol. Mag. 26(3), 29–33 (2007)CrossRefGoogle Scholar
  20. 20.
    Leijdekkers, P., Gay, V., Lawrence, E.: Smart homecare system for health tele-monitoring. In: First International Conference on the Digital Society (2007)Google Scholar
  21. 21.
  22. 22.
    Biswas, J., Tolstikov, A., Jayachandran, M., Foo, V., Wai, A., Phua, C., Huang, W., Shue, L., Gopalakrishnan, K., Lee, J., Yap, P.: Health and wellness monitoring through wearable and ambient sensors: exemplars from home-based care of elderly with mild dementia. Ann. Telecommun. 65(9–10), 505–521 (2014)Google Scholar
  23. 23.
    Loe, M.: Doing it my way: old women, technology and wellbeing. Sociol. Health Illn. 32(2), 319–334 (2010). Blackwell Publishing LtdCrossRefGoogle Scholar
  24. 24.
    Satyanarayanan, M.: Pervasive computing: vision and challenges. IEEE Pers. Commun. 8(4), 10–17 (2001)CrossRefGoogle Scholar
  25. 25.
    Weiser, M.: The computer for the 21st century. SIGMOBILE Mob. Comput. Commun. Rev. 3(3), 3–11 (1999)CrossRefGoogle Scholar
  26. 26.
    Schmidt, A., Beigl, M., Gellersen, H.W.: There is more to context than location. Comput. Graph. 23(6), 893–901 (1999)CrossRefGoogle Scholar
  27. 27.
    Dey, A.K.: Understanding and using context. Pers. Ubiquit. Comput. 5(1), 4–7 (2001)CrossRefGoogle Scholar
  28. 28.
    Chen, G., Li, M., Kotz, D.: Data-centric middleware for context-aware pervasive computing. Pervasive Mobile Comput. 4(2), 216–253 (2008)CrossRefGoogle Scholar
  29. 29.
    Santos, A., Cardoso, J., Ferreira, D., Diniz, P., Chainho, P.: Providing context for mobile and social networking applications. Pervasive Mobile Comput. 6, 324–341 (2010)CrossRefGoogle Scholar
  30. 30.
    Mancini, C., Thomas, K., Rogers, Y., Price, B.A., Jedrzejczyk, L., Bandara, A.K., Joinson, A.N., Nuseibeh, B.: From spaces to places: emerging contexts in mobile privacy. In: 11th ICUC, 30 September – 3 October, pp. 1–10 (2009)Google Scholar
  31. 31.
    Patil, S., et al.: Reasons, rewards, regrets: privacy considerations in location sharing as an interactive practice. In: SOUPS, 11–13 July 2012 (2012)Google Scholar
  32. 32.
    Berry, D.M.: Critical Theory and the Digital. Bloomsbury Publishing, New York (2014)Google Scholar
  33. 33.
    Morozov, E.: To Save Everything, Click Here: Technology, Solutionism, and the Urge to Fix Problems That Don’t Exist. Penguin, UK (2013)Google Scholar
  34. 34.
    Dourish, P.: Where the Action Is: The Foundations of Embodied Interaction. MIT, Cambridge (2004)Google Scholar
  35. 35.
    Torning, K., Oinas-Kukkonen, H.: Persuasive system design: state of the art and future directions. In: 4th International Conference on Persuasive Technology. ACM (2009)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  • Salman Qayyum Mian
    • 1
    Email author
  • Matti Mäntymäki
    • 2
  • Jukka Riekki
    • 1
  • Harri Oinas-Kukkonen
    • 1
  1. 1.University of OuluOuluFinland
  2. 2.University of TurkuTurkuFinland

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