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In this paper, we investigate the effect that an auditory distraction with differing levels of intensity has on the signal of a visual P300 Speller in terms of accuracy, amplitude, latency, user preference, signal morphology, and overall signal quality. This work is based on the P300 speller BCI (oddball) paradigm and the xDAWN algorithm, with ten healthy subjects; while using a non-invasive Brain-Computer Interface (BCI) based on low fidelity electroencephalographic (EEG) equipment. Our results suggest that the accuracy was best for the no music (M0), followed by music at 90% (M90), music at 60% (M60) and last music at 30% (M30), which results were in identical order to the subjectsu0027 preferences. In addition, the amplitude did not show any statistical significance in all scenarios while the latency exhibited a minor statistical difference. This work is part of a larger EEG based project where we are introducing different categories of distractions that are being considered alongside the development of a taxonomy. These results should give some insight into the practicability of the current P300 speller to be used for real-world applications.

The Effect That an Auditory Distraction with Differing Levels of Intensity Have on a Visual P300 Speller While Utilizing Low Fidelity Equipment: Alongside the Development of a Taxonomy