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Immersive media in simulators of complex ergatic systems. / Sergeev, Sergey; Burmistrov, Ivan.

In: IOP Conference Series: Earth and Environmental Science, Vol. 337, 012052, 2019.

Research output: Contribution to journalConference article

Harvard

Sergeev, S & Burmistrov, I 2019, 'Immersive media in simulators of complex ergatic systems', IOP Conference Series: Earth and Environmental Science, vol. 337, 012052.

APA

Sergeev, S., & Burmistrov, I. (2019). Immersive media in simulators of complex ergatic systems. IOP Conference Series: Earth and Environmental Science, 337, [012052].

Vancouver

Sergeev S, Burmistrov I. Immersive media in simulators of complex ergatic systems. IOP Conference Series: Earth and Environmental Science. 2019;337. 012052.

Author

Sergeev, Sergey ; Burmistrov, Ivan. / Immersive media in simulators of complex ergatic systems. In: IOP Conference Series: Earth and Environmental Science. 2019 ; Vol. 337.

BibTeX

@article{cafeed943b7a47c8b5460327383de629,
title = "Immersive media in simulators of complex ergatic systems",
abstract = "This paper shows a change in the paradigm of medium-oriented training of complex systems operators on simulators using high-precision models of real control systems and their application environments. Evolution of the technogenic environment leads to an increase in the complexity of professional activity, which hinders the implementation of simple algorithmic learning technologies. Forecasts to reduce the role of man in ergatic systems are not justified. New ergatic systems using artificial intelligence technologies require from operators qualities that exceed human capabilities, which requires an examination of projects and an assessment of user control complexity. The reasons for the non-classical “complex learning” methodology, which takes into account the student{\textquoteright}s self-organization and orientation in a complex dynamic context, are shown. Promising methodological approaches to the development of simulators that implement symbiotic medium-oriented learning are considered.",
author = "Sergey Sergeev and Ivan Burmistrov",
note = "S. Sergeev and I. Burmistrov 2019 IOP Conf. Ser.: Earth Environ. Sci. 337 012052; 9th Edition of Waste & Resource Management Summit 2018 ; Conference date: 13-12-2018 Through 14-12-2018",
year = "2019",
language = "English",
volume = "337",
journal = "IOP Conference Series: Earth and Environmental Science",
issn = "1755-1307",
publisher = "IOP Publishing Ltd.",

}

RIS

TY - JOUR

T1 - Immersive media in simulators of complex ergatic systems

AU - Sergeev, Sergey

AU - Burmistrov, Ivan

N1 - S. Sergeev and I. Burmistrov 2019 IOP Conf. Ser.: Earth Environ. Sci. 337 012052

PY - 2019

Y1 - 2019

N2 - This paper shows a change in the paradigm of medium-oriented training of complex systems operators on simulators using high-precision models of real control systems and their application environments. Evolution of the technogenic environment leads to an increase in the complexity of professional activity, which hinders the implementation of simple algorithmic learning technologies. Forecasts to reduce the role of man in ergatic systems are not justified. New ergatic systems using artificial intelligence technologies require from operators qualities that exceed human capabilities, which requires an examination of projects and an assessment of user control complexity. The reasons for the non-classical “complex learning” methodology, which takes into account the student’s self-organization and orientation in a complex dynamic context, are shown. Promising methodological approaches to the development of simulators that implement symbiotic medium-oriented learning are considered.

AB - This paper shows a change in the paradigm of medium-oriented training of complex systems operators on simulators using high-precision models of real control systems and their application environments. Evolution of the technogenic environment leads to an increase in the complexity of professional activity, which hinders the implementation of simple algorithmic learning technologies. Forecasts to reduce the role of man in ergatic systems are not justified. New ergatic systems using artificial intelligence technologies require from operators qualities that exceed human capabilities, which requires an examination of projects and an assessment of user control complexity. The reasons for the non-classical “complex learning” methodology, which takes into account the student’s self-organization and orientation in a complex dynamic context, are shown. Promising methodological approaches to the development of simulators that implement symbiotic medium-oriented learning are considered.

UR - https://iopscience.iop.org/article/10.1088/1755-1315/337/1/012052

UR - https://www.researchgate.net/publication/337306269_Immersive_media_in_simulators_of_complex_ergatic_systems

M3 - Conference article

VL - 337

JO - IOP Conference Series: Earth and Environmental Science

JF - IOP Conference Series: Earth and Environmental Science

SN - 1755-1307

M1 - 012052

T2 - 9th Edition of Waste & Resource Management Summit 2018

Y2 - 13 December 2018 through 14 December 2018

ER -

ID: 61625040