Enhancing Mobile Social Networks with Ambient Intelligence

Kevin Doolin, Nicholas Kenelm Taylor, Micheal Crotty, Mark Roddy, Edel Jennings, Ioanna Roussaki, David McKitterick

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

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 fi eld 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.
Original languageEnglish
Title of host publicationMobile Social Networking
PublisherSpringer
Pages139-163
Number of pages25
ISBN (Electronic)978-1-4614-8579-7
ISBN (Print)978-1-4614-8578-0
DOIs
Publication statusPublished - 2014

Publication series

NameComputational Social Sciences
PublisherSpringer New York

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  • Cite this

    Doolin, K., Taylor, N. K., Crotty, M., Roddy, M., Jennings, E., Roussaki, I., & McKitterick, D. (2014). Enhancing Mobile Social Networks with Ambient Intelligence. In Mobile Social Networking (pp. 139-163). (Computational Social Sciences). Springer. https://doi.org/10.1007/978-1-4614-8579-7_7