USENSE beta version is avaialable at Google play store https://play.google.com/store/apps/details?id=cs.usense. USENSE aims at better understanding the physical and social context of the users. In the beta version application provides some context data in non-intrusive way, and the data(not personal) are stored only on the device, not being sent to the Cloud.

This application is a product of the CitySense project which exploits its capabilities to stimulate social behaviour, encourage cooperation among users and provide trustable means for user interaction.

 

COPELABS Open Day showcased different works within the lines of research of the lab. Among them, USENSE v0.1 was presented and received intersting feedback from the attendees. With USENSE, we expect to better understand the social context of the users, and use its capabilities to stimulate social behavior, encourage cooperation among users and provide trustable means for user interaction. For more information, please visit our Project's overview and applicability areas.

 

 

 

 

 

 

Running USENSE v0.1

 

 

 

 

Welcoming screen

Welcoming screen

Ongoing event

USENSE/CitySense presentation and demo area

USENSE/CitySense presentation and demo area

 

 
 
 
 
 
 
 
Social-aware pervasive networks consider the users’ social behaviour to overcome intermittent end-to-end connectivity, inherent to this type of networking: forwarding decisions consider local knowledge about the behaviour of nodes to predict future encounters. 
Complex Network Analysis has been used to support contact prediction, by aggregating connectivity graphs into less volatile social graphs. Nevertheless, the structure of such graphs is rather dynamic, since users’ social behaviour and interactions vary throughout their daily routines and according to their mobility. Consequently, aggregation algorithms should be able to create social graphs that reflect the resulting dynamic behaviour of people. 
Hence, we have been investigating human behaviour aware aggregation algorithms aiming to create graphs based on social variations observed in people’s daily routines. By focusing on the dynamics of the network, we show that social graphs, reflecting different stages of human social behaviour and mobility, are able to take advantage of the potential small-world properties of networks in different time frames, improving the performance of social-aware opportunistic forwarding.
 
Major References
 
Internet Draft:  W. Moreira, P. Mendes and E. Cerqueira, “Opportunistic Routing based on Users Daily Life Routine”, IETF Internet Draft (draft-moreira-dlife-04), May 2014
 

Within the context of User-centric Networking, distributed trust schemes are being considered as a way to assist in developing connectivity only between devices whose owners "trust" each other for the specific purpose of relaying some form of data. Such trust does not necessarily imply that users know each other; instead, it relates to social interaction and to the interests shared by familiar strangers, i.e., users that knowingly or unknowingly share some aspects of their daily routines (e.g. visiting the same coffee shop every Saturday morning). Hence, the user anonymity is kept, while social interaction metrics related to direct and non direct recommendations of nodes around, as well as to the trust openness of a user towards strangers assists in developing more robust connectivity links, in the sense that connectivity becomes intertwined with circles of trust that are built on-the-fly.

Previous work that SITI developed in the context of the European project ULOOP considers the partial integration of social trust schemes as a way to provide non-repudiation, while still mitigating attacks. By using such techniques, ULOOP provides a single-sign on approach that can assist in creating trusted communities of devices. We have shown that such communities can assist in non-repudiation as well as in providing better QoE, due to allowing fairness in multiple users transmission.


Related work:

Rute C. Sofia and Luis Amaral Lopes, Trust as a Fairness Parameter for Quality of Experience in Wireless networks, chapter III, pages 159-169, Springer, Lecture Notes in Social Networking, volume Contribution To Appear, 2014.

Rute C. Sofia, Paulo Mendes, José Manuel Damásio, Sara Henriques, Fabio Giglietto, Erica Giambitto and Alessadro Bogliolo, Moving Towards a Socially-Driven Internet Architectural Design (2012), in: ACM SIGCOMM CCR Newsletter, 42:3.

CitySense shall present the USENSE Android app on the COPELABS OpenDay (18.06.2015, Lisbon). USENSE is an application that performs activity recognition based on social habits as well as social interaction.