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