A BCI APPLICATION FOR RATING VISUAL CONTENTS OF WEBSITES

Abstract

Websites are part of our everyday life and are used to exchange and to 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. 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 aim to develop an EEG based application to rate interest in presented visual content. The idea is to analyse 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 Brain signals collected through EEG are send it to an application for processing which is composed of per-processing, feature extraction and classification phases. It compares results ofall the websites observed by the user and produces a rating which is displayed on the GUI of the application as a feed back to the user.