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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 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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