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.
