Geo-social interaction: context-aware help in large scale public spaces

Authors:
Nasim Mahmud;Petr Aksenov;Ansar-Ul-Haque Yasar;Davy Preuveneers;Kris Luyten;Karin Coninx;Yolande Berbers
Affiliations:
Hasselt University, tUL, IBBT, Expertise Centre for Digital Media, Diepenbeek, Belgium;Hasselt University, tUL, IBBT, Expertise Centre for Digital Media, Diepenbeek, Belgium;Department of Computer Science, Katholieke Universteit Leuven, Leuven, Belgium;Department of Computer Science, Katholieke Universteit Leuven, Leuven, Belgium;Hasselt University, tUL, IBBT, Expertise Centre for Digital Media, Diepenbeek, Belgium;Hasselt University, tUL, IBBT, Expertise Centre for Digital Media, Diepenbeek, Belgium;Department of Computer Science, Katholieke Universteit Leuven, Leuven, Belgium
Venue:
AmI'10 Proceedings of the First international joint conference on Ambient intelligence
Year:
2010

Citing 6
Cited 0

Towards a Microscopic Traffic Simulation of All of Switzerland

ICCS '02 Proceedings of the International Conference on Computational Science-Part I
From awareness to repartee: sharing location within social groups

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CityFlocks: designing social navigation for urban mobile information systems

Proceedings of the 7th ACM conference on Designing interactive systems
The connected traveler: using location and personalization on mobile devices to improve transportation

Proceedings of the 2nd International Workshop on Location and the Web
Architectural backpropagation support for managing ambiguous context in smart environments

UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction
Where people and cars meet: social interactions to improve information sharing in large scale vehicular networks

Proceedings of the 2010 ACM Symposium on Applied Computing

Quantified Score

Hi-index	0.00

Visualization

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.