Title :
Can you predict human behavior?
Author :
Simoes, Jose ; Magedanz, Thomas
Author_Institution :
Fraunhofer Inst. FOKUS, Berlin, Germany
Abstract :
In the future, pervasive computing technologies will leverage new ubiquitous and intelligent user-oriented services. In this sense, by combining social network analysis, reality mining techniques and context-aware systems, our work provides an architecture and ground steps for understanding and predicting human behavior and preferences within one of the most promising business models of the future: “Advertising”. Furthermore, it shows how user related data (context) can be securely managed and exposed to 3rd party providers, taking into account user context-aware privacy settings. The presented concepts are then realized in a prototype, which evaluates the basic functionalities previously described.
Keywords :
social networking (online); ubiquitous computing; advertising; context-aware privacy settings; context-aware systems; human behavior prediction; intelligent user-oriented services; pervasive computing technologies; reality mining techniques; social network analysis; Context; Context modeling; Data mining; Humans; Predictive models; Privacy; Social network services;
Conference_Titel :
Intelligence in Next Generation Networks (ICIN), 2010 14th International Conference on
Conference_Location :
Berlin
Print_ISBN :
978-1-4244-7443-1
Electronic_ISBN :
978-1-4244-7444-8
DOI :
10.1109/ICIN.2010.5640933