RADIOELECTRONIC AND COMPUTER SYSTEMS

The article is devoted to little-studied aspects of human-computer interaction, which determines the behavior of a complex dynamic system in extreme conditions. The viability of its elements, including humans, is influenced by a variety of environmental stress factors and activities. Their combination can lead to unpredictable technical failures and psychophysiological breakdowns, as well as to systemic management problems. The main goal of this work is to justify the need to actualize the study of the extreme principles of physics and their use in the interdisciplinary "Engineering of human factors", as well as in special courses in engineering and technology.An analysis of the methods of system dynamics, synergetics, and cognitive ergonomics indicates that the source of most problems of digitalization of dynamic systems, on the one hand, is an increase in the diversity in the methods of processing information flows, types of visualization and methods of their analysis, and on the other, the variability of psychophysiological capabilities restrictions and cognitive perception by a human operator, (designer, etc.) the variety of information on the basis of which system decisions are made. It is proposed to expand interdisciplinary connections related to the extreme principles of dynamics (electrodynamics, thermodynamics, optics, and others), integrative indicators of orderliness, energy balance, and the entropy criteria of dynamic stability. It is proposed to expand the knowledge base by transforming the dynamics of digitizing information flows of various nature into structural patterns of the cognitive space of probable events. Its use in the engineering of human factors allows a) to develop an intellectual learning support system; b) apply an interdisciplinary convergent methodology in training. All this will contribute to a more effective interaction between the student and the computer and the development of his critical thinking and intuition, and will increase the ergonomic quality of dynamic systems even at the design stage. Attention is drawn to the influence of the psychophysiological state of a person on the cognitive perception of information flows of various nature, as well as on cognitive bias in making systemic decisions. Therefore, an interdisciplinary view of the possibilities and limitations of human-computer (machine) interaction under the influence of stress factors of the environment and activity is very important at all stages of the graduate design of computer systems.

human-computer interaction; cognitive ergonomics; structural patterns; cognitive graphics; system dynamics; human factor, critical thinking

Parasuraman, R. Neuroergonomics: research and practice. Theoretical Issues in Ergonomics Science, 2003, vol. 4, iss. 1–2, pp. 5–20. DOI 10.1080/14639220210199753.

Baksanskij, O. E. Konvergencziya znanij, tekhnologij i obshhestva: za predelami konvergentny`kh tekhnologij [Convergence of Knowledge, Technology, and Society: Beyond Converged Technology]. Filosofiya i kul`tura – Philosophy and Culture, 2014, no. 7 (79), pp. 1061-1068. DOI: 10.7256/1999-2793.2014.7.11995.

Aleksandrov, Yu. A. Psikhofiziologicheskie zakonomernosti naucheniya i metody` obucheniya [Psychophysiological laws of learning and teaching methods]. Psikhologicheskij zhurnal – Psychological Journal, 2012, no. 6, pp. 5–19.

Viner, N. Kibernetika, ili Upravlenie i svyaz` v zhivotnom i mashine [Cybernetics, or Control and communication in the animal and machine]. Moscow, Nauka Publ., 1983. 344 p.

Mygal, V., Mygal, G. Problems of Digitized Information Flow Analysis: Cognitive Aspects. Information & Security: An International Journal, 2019, vol. 43, no. 2, pp. 134-144. DOI: 10.11610/isij.4312.

Gilbert, K. J. Visualization in science education. Springer Science & Business Media Publ., 2006. 346 p. DOI: 10.1007/1-4020-3613-2.

Tempus Serein. Modernization of postgraduate studies on security and resilience for human and industry related domains. Available at: https://serein.eu.org (аccessed 04.12.2019).

Internet of Things: Emerging Curriculum for Industry and Human Applications. Available at: https://aliot.eu.org (аccessed 04.12.2019).

Wickens, C. D., Lee, J. D., Liu, Y., Gorden-Becker, S. E. An Introduction to Human Factors Engineering, 2nd Edition, Pearson Publ., 2003. 608 p.

Dul, Jan., Bruder, Ralph. and all. A strategy for human factors/ergonomics: developing the discipline and profession. Ergonomics, 2012, vol. 55, no. 4, pp. 377-395. DOI: 10.1080/00140139.2012.661087.

Young, Mark S., Brookhuis, Karel A., Wickens, Christopher D., Hancock, Peter A. State of science: mental workload in ergonomics. Ergonomics, 2015, vol. 58, iss. 1, pp. 1-17. DOI: 10.1080/00140139.2014.956151.

Fedota, John R., Parasuraman, R. Neuroergonomics and human error. Theoretical Issues in Ergonomics Science, 2010, vol. 11, iss. 5, pp. 402-421. DOI: 10.1080/14639220902853104.

Hancock, P. A., Szalma J. L. The future of neuroergonomics. Theoretical Issues in Ergonomics Science, 2003, vol. 3, iss. 1-2, pp. 238-249. DOI: 10.1080/1463922021000020927.

Hettinger, L. J., Branco P., Encarnacao, L. M., Bonato, P. Neuroadaptive technologies: Applying neuroergonomics to the design of advanced interfaces. Theoretical Issues in Ergonomics Science, 2003, vol. 4, iss. 1-2, pp. 220-237. DOI: 10.1080/1463922021000020918.

Forrester, Dzh. Osnovy` kibernetiki predpriyatiya: industrial`naya dinamika [Fundamentals of enterprise cybernetics: industrial dynamics]. Moscow, Progres Publ., 1971. 340 р.

Forrester, J. System dynamics - a personal view of the first fifty years. System Dynamics Review, 2007, vol. 23, iss. 3-4, pp. 345-358. DOI: 10.1002/sdr.382.

Schwaninger, M., Ríos, J. System dynamics and cybernetics: A synergetic pair. System Dynamics Review, 2008, vol. 24, no. 2, pp. 145-174. DOI: 10.1002/sdr.400.

Meadows, D., Randers J., Meadows, D. Predely` rosta. 30 let spustya [Limits to Growth. The 30-Years Update]. Moscow, IKCz «Akademkniga» Publ., 2007. 342 р.

Sterman, J. Business Dynamics: System Thinking and Modeling for a Complex World. Available at: https://www.researchgate.net/publication/44827001_

Business_Dynamics_System_Thinking_and_Modeling_for_a_Complex_World (аccessed 04.12.2019).

Mygal, V. P., But, A. V., Mygal, G. V., Klimenko, I. A. An interdisciplinary approach to study individuality in biological and physical systems functioning. Scientific Reports, Nature Publishing Group, 2016, no. 6, pp. 387-391. Article number: 29512. DOI: 10.1038/srep29512.

Mygal, V. P., Mygal, G. V., Balabanova, L. M. Visualization of Signal Structure Showing Element Functioning in Complex Dynamic Systems – Cognitive Aspects. Journal of Nano- and Electronic Physics, 2019, vol. 11, no. 2, Article number: 02013. DOI: 10.21272/jnep.11(2).02013.

Ceylan, C., Dul, J., Aytac, S. Can the office environment stimulate a manager's creativity? Human factors and ergonomics in manufacturing, 2008, vol. 18, iss. 6, pp. 589-602. DOI: 10.1002/hfm.20128.

Lee, J. D., Wickens, C. D., Liu, Y., Boyle, L. N. Designing for People: An introduction to human factors engineering, 3nd Edition, Charleston, SC: CreateSpace Publ., 2017. 692 p.

Gevins, A., Smith, M. E. Neurophysiological measures of cognitive workload during human-computer interaction. Theoretical Issues in Ergonomics Science, 2003, vol. 4, iss. 1-2, pp. 113-131. DOI: 10.1080/14639220210159717.

Newby, G. B. The Strong Cognitive Stance as a Conceptual Basis for the Role of Information in Informatics and Information System Design. Cognitive space and information space. Journal of the American Society for Information Science and Technology archive, 2001, vol. 52, iss. 12, pp. 1026-1048. DOI: 10.1002/asi.1172.

Venda, V. F., Venda, Yuri V. Dynamics in Ergonomics, Psychology, and Decisions: Introduction to Ergodynamics. Norwood, NJ, Ablex Pub. Corp., 1995. XV, 505 p.

Meltzoff, A. N., Kuhl, P. K., Movellan, J., Sejnowski, T. J. Foundations for a new science of learning. Science, 2009, vol. 325, pp. 284–288. DOI: 10.1126/science.1175626.

Freeman, S. et al. Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 2014, vol. 111, no. 23, pp. 8410–8415. DOI: 10.1073/pnas.1319030111.

Koval`chuk, M. V. Konvergencziya nauk i tekhnologij – prory`v v budushhee [The convergence of science and technology - a breakthrough into the future]. Rossijskie nanotehnologii, 2011, vol. 6, no. 1-2, pp. 13-23.

Roco, M., Bainbridge W. (eds). Converging Technologies for Improving Human Performance: Nanotechnology, Biotechnology, Information Technology and Cognitive Science. Available at: http://www.wtec.org/ConvergingTechnologies /Report/NBIC_report.pdf (аccessed 04.12.2019).

Nahavandi, Saeid. Industry 5.0 – A Human-Centric Solution. Sustainability, 2019, vol. 11, iss. 16, Art. 4371. DOI: 10.3390/su11164371

Özdemir, Vural., Hekim, Nezih. Birth of Industry 5.0: Making Sense of Big Data with Artificial Intelligence, “The Internet of Things” and Next-Generation Technology Policy. Omics: a journal of integrative biology, 2018, vol. 22, iss. 1. DOI: 10.1089/omi.2017.0194.

Industry 5.0: Announcing the Era of Intelligent Automation. Available at: https://www.intellias.com/industry-5-0-announcing-the-era-of-intelligent-automation/ (аccessed 04.12.2019).

Loshak, Zh. Geometrizacziya fiziki [Geometrization of Physics]. Moscow - Izhevsk, RKhD, 2005. 279 р.

Puankare, A. O nauke. Poslednie my`sli [About science. Last thoughts]. Moscow, «Nauka» Publ., 1983, pp. 405-620.

Vstovskij, G. V. E`lementy` informaczionnoj fiziki [Elements of Information Physics]. Moscow, MGIU Publ., 2002. 260 р.

Shallouej, A.,. Trot, D. R. Shablony` proektirovaniya. Novy`j podkhod k ob`ektno-orientirovannomu analizu i proektirovaniyu [Design Patterns Explained: A New Perspective on Object-Oriented Design]. Moscow, «Vil`yams» Publ., 2002. 288 p.

Mygal, V. P., But, A. V., Phomin, A. S., Klimenko, I. A. Geometrization of the dynamic structure of the transient photoresponse from zinc chalcogenides. Semiconductors, 2015, no. 49, iss. 5, pp. 634–637. DOI: 10.1134/S1063782615050152.

But, A. V., Migal, V. P., Fomin, A. S. Structure of a time variable photoresponse from semiconductor sensors. Technical Physics, 2012, no. 57, iss. 4, pp. 575-577. DOI: 10.1134/S1063784212040044.

Mygal, V. P., Klimenko, I. A., Mygal, G. V. Influence of radiation heat transfer dynamics on crystal growth. Functional Materials, 2018, vol. 25, iss. 3, pp. 574-580. DOI: 10.15407/fm25.03.574.