The surge in development of brain-computer interface (BCI) devices is highly focused on the algorithms, mechanics, and neurophysics of their production (Lebedev and Nicolelis, 2006; Lebedev et al., 2011; Opris, 2013). We propose the capitalizing on research findings which affect the performance of the Brain Computer Interface from the perspective of the subject. In this study, different factors along with the extent to which they affect the performance of the Brain Computer Interface were assessed. The challenges of BCI illiteracy or BCI inefficiency demands the need to consider all the factors comprehensively in order to decrease the failure rates. Additionally, it has been suggested that BCI inefficiency can be reduced by addressing flaws in human training approaches, which have been largely neglected (Lotte et al., 2013). Therefore, all the factors affecting the performance of the BCI should be taken into picture. This study reports the findings of numerous studies along with the factors which affect the performance of the Brain Computer Interface.
