DocumentCode :
139681
Title :
Social networks and ubiquitous monitoring: An application of the PSA-BI model
Author :
Moran, Sean
Author_Institution :
Mixed Reality Lab., Univ. of Nottingham, Nottingham, UK
fYear :
2014
fDate :
24-28 March 2014
Firstpage :
370
Lastpage :
375
Abstract :
In many ways, social networks can be considered a type of monitoring system which collects data about users. One of the problems with monitoring systems is that they can often be found to influence the behavior of those being observed. This has implications for the services being provided based on the data. This paper aims to use ubiquitous monitoring as a lens with which to examine the issues of social networks as a monitoring system. Moran and Nataka´s PSA-BI model is used to frame this theoretical exploration, and also serves as a potential means for predicting the behaviors of users in social networks.
Keywords :
behavioural sciences computing; social networking (online); ubiquitous computing; PSA-BI model; data collection; perception of system attributes behavioral intention; social networks; ubiquitous monitoring; user behavior; Computational modeling; Data collection; Monitoring; Pervasive computing; Predictive models; Privacy; Social network services; Behaviour; Modeling; Monitoring; Panopticon; Social Networks; Ubiquitous; User Perceptions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2014 IEEE International Conference on
Conference_Location :
Budapest
Type :
conf
DOI :
10.1109/PerComW.2014.6815234
Filename :
6815234
Link To Document :
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