Technical Papers Parallel Session-I: Rating visual contents of website using brain computer interface
Abstract/Description
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.
Keywords
Location
Theatre 1, Aman Tower
Session Theme
Technical Papers Parallel Session-I: Speech, Image, and Vision Systems
Session Type
Parallel Technical Session
Session Chair
Dr. Tahir Qasim
Start Date
30-12-2017 3:20 PM
End Date
30-12-2017 3:40 PM
Recommended Citation
Islam, M. S., & Farooq, H. (2017). Technical Papers Parallel Session-I: Rating visual contents of website using brain computer interface. International Conference on Information and Communication Technologies. Retrieved from https://ir.iba.edu.pk/icict/2017/2017/11
COinS
Technical Papers Parallel Session-I: Rating visual contents of website using brain computer interface
Theatre 1, Aman Tower
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.
