Enhancing Mobile Social Networks with Ambient Intelligence

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

doi:10.1007/978-1-4614-8579-7_7

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 proceeding › Chapter (peer-reviewed) › peer-review

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 language	English
Title of host publication	Mobile Social Networking
Publisher	Springer
Pages	139-163
Number of pages	25
ISBN (Electronic)	978-1-4614-8579-7
ISBN (Print)	978-1-4614-8578-0
DOIs	https://doi.org/10.1007/978-1-4614-8579-7_7
Publication status	Published - 2014

Publication series

Name	Computational Social Sciences
Publisher	Springer New York

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10.1007/978-1-4614-8579-7_7

Cite this

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title = "Enhancing Mobile Social Networks with Ambient Intelligence",

abstract = "Mobile social computing has exploded into people{\textquoteright}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.",

author = "Kevin Doolin and Taylor, {Nicholas Kenelm} and Micheal Crotty and Mark Roddy and Edel Jennings and Ioanna Roussaki and David McKitterick",

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T1 - Enhancing Mobile Social Networks with Ambient Intelligence

AU - Doolin, Kevin

AU - Taylor, Nicholas Kenelm

AU - Crotty, Micheal

AU - Roddy, Mark

AU - Jennings, Edel

AU - Roussaki, Ioanna

AU - McKitterick, David

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

U2 - 10.1007/978-1-4614-8579-7_7

DO - 10.1007/978-1-4614-8579-7_7

M3 - Chapter (peer-reviewed)

SN - 978-1-4614-8578-0

T3 - Computational Social Sciences

SP - 139

EP - 163

BT - Mobile Social Networking

PB - Springer

ER -

Enhancing Mobile Social Networks with Ambient Intelligence

Abstract

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