Abstract
Mobile social computing has exploded into people’s lives during the past 10 years, but to become truly pervasive it needs to be much more context-aware and personalizable. The next generation of social media needs to be able to react and adapt to the physical environments in which people live and act. The SOCIETIES project is integrating research undertaken in the field of pervasive computing with social computing to develop the next generation of social media systems. The vehicle for this is the “pervasive community”, and this chapter outlines the innovations required to realize this concept. Pervasive communities can restore the symbiosis between our digital and physical worlds.
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References
DAIDALOS, (2012). Project Website. http://www.ist-daidalos.org. Accessed 16 Nov 2012.
Doolin, K., Roussaki, I., Roddy, M., Kalatzis, N., Papadopoulou, E., Taylor, N. K., Liampotis, N., McKitterick, D., Jennings, E., & Kosmides, P. (2012). SOCIETIES: Where pervasive meets social. Future Internet Assembly Book, 1, 30–41.
Floch, J., Angermann, M., Jennings, E., & Roddy, M. (2012). Exploring cooperating smart spaces for efficient collaboration in disaster management. Vancouver: ISCRAM.
Gallacher, S., Papadopoulou, E., Taylor, N.K., Blackmun, F.R., Williams, M.H., Roussaki, I., Kalatzis, N., Liampotis, N., & Zhang, D. (2011). Personalisation in a system combining pervasiveness and social networking. In 20th International Conference on Computer Communications and Networks (ICCCN 2011). Maui.
Gallacher, S., Papadopoulou, E., Taylor, N.K., Blackmun, F.R., & Williams, M.H. (2012). Intelligent systems that combine pervasive computing and social networking. In 9th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2012). Fukuoka.
Gonçalves, J., Gomes, D., & Aguiar, R. (2012). Low-latency privacy-enabled context distribution architecture. In IEEE Communication Software Services and Multimedia Applications Symposium (IEEE ICC 2012). Ottawa.
Greenfield, A. (2006). Everyware: The dawning age of ubiquitous computing. Berkeley: New Riders.
Hansmann, U., Merk, L., Nicklous, M., & Stober, T. (2012). Pervasive computing: The mobile world (2nd ed.). New York: Springer.
Jennings, E., Madden, E., Roddy, M., & Roussaki, I. (2011). Participative user research and evaluation methodologies for pervasive communities. In Irish Human Computer Interaction Conference 2011 (iHCI 2011), Integrated Practice Inclusive Design (CIT). Cork.
Lima, C., Gomes, D., & Aguiar, R. (2012). Pervasive CSCW for smart spaces communities. In IEEE International Conference on Pervasive Computing and Communications Workshops 2012 (PERCOM Workshops 2012). Lugano.
Lukowicz, P., Pentland, S., & Ferscha, A. (2012). From context awareness to socially aware computing. IEEE Pervasive Computing, 11(1), 32–41.
Obaidat, M. S., Denko, M., & Woungang, I. (2011). Pervasive computing and networking (1st ed.). Hoboken: Wiley.
Pallis, G., Zeinalipour-Yazti, D., & Dikaiakos, M. D. (2011). New directions in web data management. Studies in Computational Intelligence, 331, 213–234. doi:10.1007/978-3-642-17551-0_8. Online Social Networks: Status and Trends.
Parthasarathy, S., Ruan, Y., & Satuluri, V. (2011). Community discovery in social networks: Applications, methods and emerging trends. In Social network data analytics Springer US (pp. 79–113). doi: 10.1007/978-1-4419-8462-3_4.
PERSIST. (2012). Project Website. http://www.ict-persist.eu. Accessed 16 Nov 2012.
Roussaki, I., Kalatzis, N., Liampotis, N., Kosmides, P., Anagnostou, M., Doolin, K., Jennings, E., Bouloudis, Y., & Xynogalas, S. (2012). Context-awareness in wireless and mobile computing revisited to embrace social networking. IEEE Communications Magazine, 50(6), 74–81.
Semertzidis, T., & Laso-Ballesteros, I.D.P. (2010). Social networks: Current trends and research challenges, coordinated by the next MEDIA coordination action.
SOCIETIES Deliverable D2.1 Specification of initial scenarios and user requirements. http://www.ict-societies.eu/files/2011/11/SOCIETIES_D21.pdf. Accessed 16 Nov 2012.
SOCIETIES Deliverable D2.2 Scenario description, use cases and technical requirements specification. http://www.ict-societies.eu/files/2011/11/SOCIETIES_D22.pdf. Accessed 16 Nov 2012.
SOCIETIES Deliverable D8.1 Paper trial evaluation report. http://www.ict-societies.eu/files/2011/11/D8.1_public.pdf. Accessed 16 Nov 2012.
SOCIETIES deliverables. http://www.ict-societies.eu/project-deliverables/. Accessed 16 Nov 2012.
SOCIETIES Integrated Project. Full title: Self Orchestrating CommunIty ambiEnT IntelligEnce Spaces, http://www.ict-societies.eu. Accessed 16 Nov 2012.
SOCIETIES project partners. http://www.ict-societies.eu/partners/. Accessed 16 Nov 2012.
Xu, B., Chin, A., Wang, H., Chang, L., Zhang, K., Yin, F., & Zhang, L. (2011). Physical proximity and online user behaviour in an indoor mobile social networking application. In Internet of Things (iThings/CPSCom), 2011 International Conference on and 4th International Conference on Cyber, Physical and Social Computing (pp. 273–282), doi: 10.1109/iThings/CPSCom.2011.74.
Zaphiris, P., & Ang, C. S. (2009). Social computing and virtual communities. Hoboken: Chapman and Hall/CRC/IGI Global.
Acknowledgments
This work was supported in part by the European Commission as part of the SOCIETIES project under the FP7 programme which the authors gratefully acknowledge. The authors also wish to thank our colleagues in the project, without whom this paper would not have been possible (SOCIETIES 2011). Note that apart from funding this project, the European Commission has no responsibility for the content of this chapter.
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Doolin, K. et al. (2014). Enhancing Mobile Social Networks with Ambient Intelligence. In: Chin, A., Zhang, D. (eds) Mobile Social Networking. Computational Social Sciences. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8579-7_7
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