Lessons learned using ubiquitous sensors for data collection in real homes
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Privacy and trust issues with invisible computers
Communications of the ACM - The disappearing computer
Ubiquitous computing in the real world: lessons learnt from large scale RFID deployments
Personal and Ubiquitous Computing
Physical, Social, and Experiential Knowledge in Pervasive Computing Environments
IEEE Pervasive Computing
The embedded panopticon: visibility issues of remote diagnostics surveillance
Scandinavian Journal of Information Systems
Editorial: The social implications of emerging technologies
Interacting with Computers
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Ubiquitous environments such as intelligent pervasive spaces are designed to make life better for users. In order to provide much of their intended functionality, significant amounts of data need to be collected about users through sensors deployed ubiquitously. Existing monitoring technologies have been known to often cause undesirable effects, and it is anticipated that ubiquitous monitoring, with its increased coverage, will result in an increase in the occurrence of these effects. So far, a limited amount of research has investigated the impact of this technology on users. As such, we present a preliminary model, consisting of a series of factors related to ubiquitous monitoring believed to influence behaviour, and augmented by the Theory of Planned Behaviour for understanding, predicting and therefore preventing any undesirable effects.