Effectiveness with EEG BCIs: exposure to traditional input methods as a factor of performance

Authors:
Gavin J. Dollman;Lizette De Wet;Tanya R. Beelders
Affiliations:
University of the Free State, Bloemfontein, South Africa;University of the Free State, Bloemfontein, South Africa;University of the Free State, Bloemfontein, South Africa
Venue:
Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference
Year:
2013

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Abstract

Brain computer interfaces (BCIs) are traditionally used to assist disabled persons to communicate. These specialised systems are often designed to function for specific individuals with little regard for the use of a BCI with able bodied individuals. To help address the issue this study compared two groups of participants who were classified based on their varying exposure to traditional input methods. The usability metric effectiveness, in terms of error rate, was compared while using the Emotiv or a keyboard to move a robot. The results indicated that exposure to traditional input methods is not a factor in the effectiveness of the BCI. Thus a person can effectively use the BCI without prior knowledge of computers which broadens the acceptability of the interface. Therefore a BCI, like the Emotiv, could serve as an alternative communication channel for able bodied individuals.