Abstract
Nowadays, BCI (brain-computer interface) is a perspective human-machine interaction method with a lot of usage concepts, but many practical aspects should be investigated before it can be used in a broader scale. For example, one should spent a lot of time on training, before he or she can achieve sufficient control accuracy through BCI. Moreover, when one is working with BCI, an important factor is distraction that can have a negative impact on training, and then, subsequently, on the quality of control through it. Such factors can occur in normal conditions of BCI usage – that’s why they are need to be taken into account. Distractions can be represented by different external impacts on the operator’s channels of the perception (such as auditory impacts, visual impacts, etc.) or operator’s own internal state. In this paper, we propose the method and software framework for evaluating control quality using BCI in the presence of distracting factors. Also we researched influence of some of them on quality of BCI usage.
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Acknowledgments
This work was partially supported by Competitiveness Growth Program of the National Research Nuclear University MEPhI (Moscow Engineering Physics Institute).
The authors would like to thank all the participants who agreed to take part in the experiment.
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Cherepanova, A.D., Petrova, A.I., Voznenko, T.I., Dyumin, A.A., Gridnev, A.A., Chepin, E.V. (2019). The Research of Distracting Factors Influence on Quality of Brain-Computer Interface Usage. In: Samsonovich, A. (eds) Biologically Inspired Cognitive Architectures 2018. BICA 2018. Advances in Intelligent Systems and Computing, vol 848. Springer, Cham. https://doi.org/10.1007/978-3-319-99316-4_6
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DOI: https://doi.org/10.1007/978-3-319-99316-4_6
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