ICT for performance assessment of emergent technologies operators

- Burov, O. Yu. (orcid.org/0000-0003-0733-1120) (2017) ICT for performance assessment of emergent technologies operators Proceedings of the 13th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer Kyiv, Ukraine, May 15-18, 2017, 1844. pp. 127-138. ISSN 1613-0073

[img]
Preview
Text
Burov_ICT for performance assessment of emergent technologies operators.pdf

Download (124kB) | Preview

Abstract

The paper discusses main ideas of design principles and results of practical implementation of ICT for assessment and prediction of power plant operator fitness-for-duty. They are discussed reasons of discrepancy of operator psychophysiological opportunities to occupational requirements that can reduce his/her reliability and general fitness-for-duty. Principles of functioning of the system for a pre-shift assessment of operator fitness-for-work are settled in definite terms. The structure of the computer system is described. Results of industrial check of the system work in real-settings (fossil and hydro power plants) are discussed. The main results are: (1) very high relationship between indices of operators task performance when working with the system and indices of their professional work that were registered by the technological automatic system of the plant, (2) substantially higher accuracy of the prognosis built by the system (85-90%) in comparison with other means of an operator check known from published data (70% as the best).

Item Type: Article
Keywords: operator, fitness-for-duty, ICT, prediction
Subjects: Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.7 Computer communication. Computer networks > 004.77 General networking applications and services
Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 6 Applied Sciences. Medicine. Technology
Divisions: Information Technologies and Learning Tools > Department of Technologies of Open Learning Environment
Depositing User: с.д/п.н.с. Oleksandr Burov
Date Deposited: 29 Aug 2017 19:35
Last Modified: 30 Aug 2017 12:15
URI: http://lib.iitta.gov.ua/id/eprint/707704

Downloads

Downloads per month over past year

Actions (login required)

View Item View Item