The massive spread of small personal devices equipped with different radio technologies is enabling the formation of a heterogeneous wireless networking platform on top of which new mobile computing services are deployed to flexibly and ubiquitously reach a target user. With the emerging of ubiquitous wireless communications, mobile applications are becoming highly personalized and influenced by user location, mobility, social attitudes and interests, or, shortly, by his/her behavior. In this work, we propose a framework having the aim of capturing and allowing the modeling the multiple dimensions of the human behavior. In order to measure and perform a cross analysis of those dimensions, we briefly describe an Android-based application able to collect face-to-face encounters and online social relations of a certain set of users.
Sensing multi-dimensional human behavior in opportunistic networks / S. Gaito, E. Pagani, G.P. Rossi, M. Zignani - In: MobiOpp '12 : proceedingsNew York : ACM, 2012 Mar. - ISBN 9781450312080. - pp. 89-90 (( Intervento presentato al 3. convegno International ACM Workshop on Mobile Opportunistic Networks (MobiOpp) tenutosi a Zurich nel 2012 [10.1145/2159576.2159599].
Sensing multi-dimensional human behavior in opportunistic networks
S. GaitoPrimo
;E. PaganiSecondo
;G.P. RossiPenultimo
;M. ZignaniUltimo
2012
Abstract
The massive spread of small personal devices equipped with different radio technologies is enabling the formation of a heterogeneous wireless networking platform on top of which new mobile computing services are deployed to flexibly and ubiquitously reach a target user. With the emerging of ubiquitous wireless communications, mobile applications are becoming highly personalized and influenced by user location, mobility, social attitudes and interests, or, shortly, by his/her behavior. In this work, we propose a framework having the aim of capturing and allowing the modeling the multiple dimensions of the human behavior. In order to measure and perform a cross analysis of those dimensions, we briefly describe an Android-based application able to collect face-to-face encounters and online social relations of a certain set of users.Pubblicazioni consigliate
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