 In the home, there are smart meters for automatically reading and sending electricity and water consumption, and thermostats and other devices that can be remotely controlled by the owner. Such devices again generate statistics, and these can be used for mining and profiling. In the future, more and more household appliances will be connected, each generating its own information. Ambient intelligence (Brey 2005), and ubiquitous computing, along with the Internet of Things (Friedewald &amp; Raabe 2011), also enable automatic adaptation of the environment to the user, based on explicit preferences and implicit observations, and user autonomy is a central theme in considering the privacy implications of such devices. In general, the move towards a service-oriented provisioning of goods, with suppliers being informed about how the products are used through IT and associated connectivity, requires consideration of the associated privacy and transparency concerns (Pieters 2013). For example, users will need to be informed when connected devices contain a microphone and how and when it is used.