2008•Proceedings of the Human Factors and Ergonomics Society Annual MeetingRequires access
Environmental Noise and P300-Based Brain-Computer Interface (BCI)
Chang S. Nam, Steve Johnson, Yueqing Li
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Abstract
The primary purpose of this study was to systematically evaluate the overall effect of simulated environmental noise on the P300 Speller in order to obtain usability and performance data. P300 Speller is a P300-based brain-computer interface (BCI) that allows people with motor disabilities to type characters just by thinking. Two environmental noise simulations (quiet [20–40 dB], and noisy [70–120 dB]) were examined to simulate the effects of real-world noise. Results of the study indicated that although there were differences in accuracy rate and information transfer rate (ITR) between the noise and quiet conditions, the environmental noise factor was not statistically significant. On the other hand, the P300 amplitude was significantly higher in the noisy condition than in the quiet condition. Unlike the common knowledge that BCI applications are generally preferred to be performed in quiet conditions, higher noise levels seem to increase user concentration. The outcomes of this research should have a broad impact on future user interface design of BCI applications.