data analysis

Matching smart home data exploitation results with users' real behaviour

Home-based digital devices increasingly record data and send it to cloud services (vacuum robot data for sale). Beyond the obvious privacy problem, there are open questions of how this data matches with the self-representation users have of their own behaviour, or even the degree to which the interpretation of the data faithfully represents their actual behaviour.

Evaluating experience sampling techniques in large scale mobile comfort perception sensing

Maintaining comfort is the purpose of buildings and energy is often needed for it. With more and more severe energy efficiency requirements and ever increasing building automation to achieve it, there is a need to gather the actual comfort sensation of building users, to optimise buidling control.

Yet comfort sensation is a subjective perception, that shows high variability among users, depending on their activity, their clothing, their environement, etc. The experience sampling approach allows to gather user perception about a given while they go about their normal doings.