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Methodological Bases for Assessing and Monitoring the Emotional State of a Person during Interactions with Information Systems

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Abstract—An objective assessment of a person’s emotional state is considered based on the control of markers: facial expressions, motility, electroencephalograms, and breathing. The classification of external manifestations of a person’s emotional states and methods of their measurements is presented. The definition of a socio-computer system is given and the importance of taking the emotional state of its users into account is shown. A model of a socio-computer system for the formation of a digital double of its user is proposed.

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REFERENCES

  1. Khaligh-Razavi, S.-M. and Kriegeskorte, N., Deep supervised, but not unsupervised, models may explain IT cortical representation, PLoS Comput. Biol., 2014, vol. 10, no. 11. https://doi.org/10.1371/journal.pcbi.1003915

  2. Lebeuf, C., Storey, M.-A., and Zagalskya, A., Software bots, IEEE Software, 2018, no. 1, pp. 18–23.

  3. Barrett, L.F. and Bliss-Moreau, E., Affect as a psychological primitive, Adv. Exp. Soc. Psychol., 2009, no. 41, pp. 167–218.

  4. Shchekochikhin, O.V., Shvedenko, V.V., and Shvedenko, P.V., Ontology of the concepts of an information system with behavior, Kazan: Nauchno-Tekh. Vestn. Povolzh., 2016, no. 5, pp. 223–226.

  5. Turovskii, Ya.A., Sistemy interfeisov chelovek-komp’yuter na osnove analiza spektral’nykh osobennostei biomeditsinskikh signalov i gibridnogo intellekta (Human-Computer Interface Systems Based on the Analysis of Spectral Features of Biomedical Signals and Hybrid Intelligence), Tambov: Voronezh. Gos. Univ., 2019.

  6. Naselaris, T., Kay, K.N., Nishimoto, S., and Gallant, J.L., Encoding and decoding in fMRI, Neuroimage, 2011, no. 56, pp. 400–410.

  7. Battini, D., Faccio, M., Persona, A., and Sgarbossa, F., New methodological framework to improve productivity and ergonomics in assembly system design, Int. J. Ind. Ergon., 2011, vol. 41, no. 1, pp. 30–42.

    Article  Google Scholar 

  8. Kragel, P.A., Emotion schemas are embedded in the human visual system, Int. J. Comput. Integr. Manuf., 2018, vol. 32, pp. 1–12.

    Google Scholar 

  9. Agur’yanov, I., Keyboard handwriting as a means of authentication, Security Lab, 2012. https://www.securitylab.ru/blog/personal/aguryanov/29985.php.

  10. Seth, A.K., Interoceptive inference, emotion, and the embodied self, Trends Cognit. Sci., 2013, no. 17, pp. 565–573.

  11. Izard, C.E., Basic emotions, natural kinds, emotion schemas, and a new paradigm, Perspect. Psychol. Sci., 2007, no. 2, pp. 260–280.

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Correspondence to V. N. Shvedenko or D. A. Sobolev.

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Shvedenko, V.N., Sobolev, D.A. Methodological Bases for Assessing and Monitoring the Emotional State of a Person during Interactions with Information Systems. Autom. Doc. Math. Linguist. 54, 21–25 (2020). https://doi.org/10.3103/S0005105520010094

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