Subjective time scales when working with perspective human-computer interfaces

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Abstract

The analysis of subjective time scales of the subjects with perspective human-computer interfaces was carried out: neurocomputer (brain-computer), electromyographic, oculografic. It is shown that for all of them it is typical to underestimate the maximum time spent for the execution of one team. In this case, for the electromyographic and oculografic, this feature is also preserved for the indicators of the average time for executing the commands. The results of the assessment demonstrate a unified approach of users to the formation of subjective time when working with various interfaces: the user estimates both the averaged and the best (minimum) with the worst (maximum) time for executing commands on a single scale. Subjects who switched worse from generating one command for the interface to another subjectively rated the interface as slower. The HRV data showed the LF-band relationship with a subjective estimate of the time spent working with the interface. Analysis of the relationship (true time-subjective) / true time has shown that subjective time scales when working with the neurocomputer and oculographic interfaces demonstrate a high correlation with each other as opposed to electromyographic.

General Information

Keywords: brain-computer interfaces (neurocomputer), electromyographic interfaces, oculografic in- terfaces, subjective time scales

Journal rubric: Cognitive Psychology

Article type: scientific article

DOI: https://doi.org/10.17759/exppsy.2019120206

Funding. This work was supported by the RFBR grant 16-29-08342-офи-м

Acknowledgements. The authors thank A.A. Vakhtin for assistance in collecting data for research.

For citation: Turovskiy Y.A., Mamaev A.V., Alekseev A.V., Borzunov S.V. Subjective time scales when working with perspective human-computer interfaces. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2019. Vol. 12, no. 2, pp. 75–86. DOI: 10.17759/exppsy.2019120206. (In Russ., аbstr. in Engl.)

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Information About the Authors

Yaroslav A. Turovskiy, PhD in Medicine, Associate Professor, Head of the Laboratory of Medical Cybernetics, Digital Technologies Department, Voronezh State University, Voronezh, Russia, ORCID: https://orcid.org/0000-0002-5290-885X, e-mail: yaroslav_turovsk@mail.ru

Aleksandr V. Mamaev, Leading Engineer of the Laboratory of Medical Cybernetics, Digital Technologies Department, Voronezh State University, Voronezh, Russia, e-mail: alex9100@bk.ru

Aleksandr V. Alekseev, Leading Engineer of the Laboratory of Medical Cybernetics of the Digital Technologies Department, Voronezh State University, Student of the Voronezh State University, Voronezh, Russia, e-mail: a_v_alekseev@bk.ru

Sergei V. Borzunov, PhD in Physics and Matematics, Associate Professor of Digital Technologies Department, Voronezh State University, Voronezh, Russia, e-mail: sborzunov@gmail.com

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