Applicability of social weight theory to brain computer interfaces

Authors:
K. Felix Navarro;E. Lawrence;D. Martin
Affiliations:
Faculty of Information Technology, University of Technology Sydney, Sydney, Australia;Faculty of Information Technology, University of Technology Sydney, Sydney, Australia;Faculty of Science, University of Technology Sydney, Sydney, Australia
Venue:
AIC'04 Proceedings of the 4th WSEAS International Conference on Applied Informatics and Communications
Year:
2004

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Abstract

The multidisciplinary nature of Brain Computer Interfaces (BCIs) technologies demands scientists and researchers in the area to develop a homogeneous framework and classification of the existent BCI technologies in order to identify, facilitate and accelerate the natural incorporation of the state-of-the-art techniques from the different areas of knowledge. The researchers firstly discuss an extensive literature review and classification of BCI technologies based on Wolpaw's architecture. As the number of disabled people grows it is vital that researchers develop devices that assist in making the everyday life of such people more bearable. However when developing technologically advanced human computer interfaces researchers have often ignored the importance of the look and feel of the device. In this paper the researchers assess the importance of the Theory of Social Weight when considering BCIs.