Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11620
Title: Geo-Social Interaction: Context-Aware Help in Large Scale Public Spaces
Authors: MAHMUD, Nasim 
AKSENOV, Petr 
Yasar, Ansar-Ul-Haque
Preuveneers, Davy
LUYTEN, Kris 
CONINX, Karin 
Berbers, Yolande
Issue Date: 2010
Publisher: Springer-Verlag
Source: de Ruyter, Boris & Wichert, Reiner & Keyson, David & Markopoulos, Panos & Streitz, Norbert & Divitini, Monica & Georgantas, Nikolaos & Mana Gomez, Antonio (Ed.) Ambient Intelligence. p. 107-116.
Series/Report: LECTURE NOTES IN COMPUTER SCIENCE
Series/Report no.: 6439
Abstract: We present an approach to exploit social and spatio-temporal context in order to improve information dissemination in dynamic large-scale public spaces. We illustrate it by applying a proposed measure of geo-social relevance of each individual in a simulated vehicular network and by comparing the performance of different network message passing techniques in an inter-vehicle ‘help-me-best-and-do-it-fast’ communication scenario. We conclude that the use of social networking capabilities of an individual combined with knowledge about their spatio-temporal context information significantly improves purposeful interaction between individuals in terms of both the efficiency of the network data dissemination and the quality of the delivered information.
Document URI: http://hdl.handle.net/1942/11620
ISBN: 978-3-642-16917-5
DOI: 10.1007/978-3-642-16917-5_11
ISI #: 000289222300011
Category: C1
Type: Proceedings Paper
Validations: ecoom 2012
Appears in Collections:Research publications

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