Recently developed Brain Computer Interfaces (BCI) allow users to control devices using only brain commands. At the beginning, this interaction paradigm was expensive and hard to implement. Thanks to the technological progress, affordable and portable approaches are now available in the market. In this work, we propose to use BCI technology to create a personalized museum guide, aware of user’s preferences and interests in real time, using a low cost Electroencephalograph (EEG) equipment. The aim of this Master Thesis is to clarify whether or not it is possible to recognize visitor’s interest using a commercial EEG device such as Emotiv EPOC. This would be performed by collecting EEG data from an experimental study under controlled, museum-related settings, to then analyse it and elaborate an indicator about visual interest at first sight.