Ubiquitous Monitoring and Human Behaviour in Intelligent Pervasive Spaces

We are soon approaching the pervasive-era of computing, where computers are embedded into objects and the environment in order to provide new services to users. Significant levels of data are required in order for these services to function as intended, and it is this collection of data which we refer to as ubiquitous monitoring. Existing monitoring techniques have often been known to cause undesirable effects, and it is anticipated that ubiquitous monitoring, with its increased coverage, will lead to increases in their occurrence and impact. To date, the effects of ubiquitous monitoring on human behaviour have not been sufficiently investigated, further increasing the risk of undesirable effects. We propose a preliminary model consisting of a series of factors believed to influence human behavior and augmented by the theory of planned behaviour. This model may allow us to understand, predict, and therefore prevent any undesirable effects caused by ubiquitous monitoring.