EVALUATING THE POSSIBILITY OF FORECASTING THE EFFICIENCY OF MASTERING HUMAN-COMPUTER INTERFACES ON THE BASIS OF OPERATORS’ PRELIMINARY PSYCHOLOGICAL TESTING
Abstract and keywords
Abstract (English):
The aim of the search work was to identify the relationship between the successes of operators managing various human-computer interfaces, with the individual characteristics of operators established on the basis of psychological testing. In the course of the study, a number of scales were identified in existing test methods associated with the success of managing a particular interface. The possibility of various machine learning methods for constructing regression models linking psychological scales and the result of the operator's activity was evaluated.

Keywords:
brain-computer interface, oculographic interface, electromyographic interface, operators’ psychodiagnostics
References

1. Parini S. [et al.] A robust and Self-Paced BCI System Based on a Four Class SSVEP Paradigm: Algorithms and Proto-cols for a High-Transfer-Rate Direct Brain Communication. Computational Intelligence and Neuroscience, 2009. 11 p. DOI: 10.1155/2009/864564.

2. Zhu D. [et al.] A Survey of Stimulation Methods Used in SSVEP-Based BCIs // Hindawi Publishing Corporation // Computational Intelligence and Neuroscience. 2010. DOI:10.1155/2010/702357/

3. Amiri S., Fazel-Rezai R., Asadpour V. A Review of Hy-brid Brain-Computer Interface Systems. Advances in Human-Computer Interaction, 2013. Article ID 187024, pp. 1-8. DOI: 10.1155/2013/187024.

4. Wolpaw J. R. [et al.] Brain-Computer Interfaces for Communication and Control. Clinical Neurophysiol, 2002, vol. 113, pp. 767-791. DOI: 10.1145/1296843.1296845.

5. Garcia G. High Frequency SSVEPs for BCI Applications. Computer-Human Interaction, April 2008. Florence, Italy, 2008.

6. Slavutskaya M.V., Moiseeva V.V., Shulgovsky V.V. At-tention and Eye Movements. Structure of the Oculomotor Sys-tem, Phenomenology and Saccade Programming. Zhurnal vys-shei nervnoi deiatelnosti imeni I.P. Pavlova [Journal of Higher Nervous Activity named after I.P. Pavlov], 2008, vol. 58, no. 1, pp. 28-45.

7. Blaginin A.A., Sinelnikov S.N., Blaginin A.A. Evaluation of the Functional State of Operators with Allowance for Individual Psychological Characteristics. Fiziologiya cheloveka [Human Physiology], 2017, vol. 43, no. 1, pp. 11-17. DOI: 10.7868/S0131164616060035.

8. Bodrov V.A., Orlov V.Ya. Psychology and Reliability: Man in Control Systems of Technique. Moscow, 1998. 176 p. ISBN 5-201-02230-8.

9. Glantz S. Biomedical Statistics. Moscow: Praktika, 1998. 459 p. ISBN 5-89816-009-4.

10. Runion R. Handbook of Non-Parametric Statistics. Modern Approach. Moscow: Finansy i statistika, 1982. 198 p.

11. Zhu D. [et al.] A Survey of Stimulation Methods Used in SSVEP-Based BCIs. Hindawi Publishing Corporation. Computational Intelligence and Neuroscience, 2010. DOI: 10.1155/2010/702357.

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