Rating visual contents of website using brain computer interface

Websites are part of our everyday life and are used to exchange and convey information between user communities. Despite website proliferation, assessment of site quality remains a challenging area of research. Scientific literature identifies several aspects, or criteria, of quality, which are often aggregated to content, structure, design, navigation and multimedia but they cannot determine what the user is thinking about the content while browsing. Previous researches supported the notion that the internet users do not read the websites. Only thing that attract them is the visual contents. This project aims to develop an EEG (Electroencephalogram) based application to rate interest in presented visual content. The idea is to analyze the feeling difference of a human mind as compare to the subjects' verbal interest. Some popular websites are selected for this purpose having similarities in the main contents. Brain signals collected through EEG device are send to an application for processing. It compares results of all the websites observed by the user and produces a rating which is displayed on the user interface of the application as a feed back to the user. Knowledge from the results can be basically used when designing websites and marketing campaigns online.