{"id":14818,"date":"2022-12-24T15:00:56","date_gmt":"2022-12-24T13:00:56","guid":{"rendered":"http:\/\/journals.khnu.km.ua\/vestnik\/?p=14818"},"modified":"2022-12-26T20:11:25","modified_gmt":"2022-12-26T18:11:25","slug":"eksperymentalne-doslidzhennya-ta-grupuvannya-operatorskogo-personalu-poshukovyh-system-v-sensi-stresostijkosti","status":"publish","type":"post","link":"https:\/\/journals.khnu.km.ua\/vestnik\/?p=14818","title":{"rendered":"\u0415\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u0430\u043b\u044c\u043d\u0435 \u0434\u043e\u0441\u043b\u0456\u0434\u0436\u0435\u043d\u043d\u044f \u0442\u0430 \u0433\u0440\u0443\u043f\u0443\u0432\u0430\u043d\u043d\u044f \u043e\u043f\u0435\u0440\u0430\u0442\u043e\u0440\u0441\u044c\u043a\u043e\u0433\u043e \u043f\u0435\u0440\u0441\u043e\u043d\u0430\u043b\u0443 \u043f\u043e\u0448\u0443\u043a\u043e\u0432\u0438\u0445 \u0441\u0438\u0441\u0442\u0435\u043c \u0432 \u0441\u0435\u043d\u0441\u0456 \u0441\u0442\u0440\u0435\u0441\u043e\u0441\u0442\u0456\u0439\u043a\u043e\u0441\u0442\u0456"},"content":{"rendered":"

<\/p>\n

\u0415\u041a\u0421\u041f\u0415\u0420\u0418\u041c\u0415\u041d\u0422\u0410\u041b\u042c\u041d\u0415 \u0414\u041e\u0421\u041b\u0406\u0414\u0416\u0415\u041d\u041d\u042f \u0422\u0410 \u0413\u0420\u0423\u041f\u0423\u0412\u0410\u041d\u041d\u042f \u041e\u041f\u0415\u0420\u0410\u0422\u041e\u0420\u0421\u042c\u041a\u041e\u0413\u041e \u041f\u0415\u0420\u0421\u041e\u041d\u0410\u041b\u0423 \u041f\u041e\u0428\u0423\u041a\u041e\u0412\u0418\u0425 \u0421\u0418\u0421\u0422\u0415\u041c \u0412 \u0421\u0415\u041d\u0421\u0406 \u0421\u0422\u0420\u0415\u0421\u041e\u0421\u0422\u0406\u0419\u041a\u041e\u0421\u0422\u0406<\/p>\n

EXPERIMENTAL RESEARCH AND GROUPING OF OPERATING STAFF OF SEARCH SYSTEMS IN THE SENSE OF STRESS RESISTANCE<\/p>\n

\u00a0<\/strong>\u0421\u0442\u043e\u0440\u0456\u043d\u043a\u0438: 42-51. \u041d\u043e\u043c\u0435\u0440: \u21165, 2022 (313)\u00a0\u00a0 <\/strong> \"\"<\/a>
\nDOI:<\/strong> https:\/\/www.doi.org\/10.31891\/2307-5732-2022-313-5-42-51<\/a>
\n\u0410\u0432\u0442\u043e\u0440\u0438: <\/strong>\u041a\u0410\u041c\u0406\u041d\u0421\u042c\u041a\u0418\u0419 \u0420\u043e\u043c\u0430\u043d
\n\u041d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 “\u041b\u044c\u0432\u0456\u0432\u0441\u044c\u043a\u0430 \u043f\u043e\u043b\u0456\u0442\u0435\u0445\u043d\u0456\u043a\u0430”
\nORCID ID: 0000-0002-0563-5748<\/a>
\ne-mail: kaminsky.roman@gmail.com
\n\u0428\u0410\u0425\u041e\u0412\u0421\u042c\u041a\u0410 \u041d\u0430\u0442\u0430\u043b\u0456\u044f
\n\u041d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 “\u041b\u044c\u0432\u0456\u0432\u0441\u044c\u043a\u0430 \u043f\u043e\u043b\u0456\u0442\u0435\u0445\u043d\u0456\u043a\u0430”
\nORCID ID: 0000-0002-6875-8534<\/a>
\ne-mail: natalya233@gmail.com
\n\u0425\u0423\u0414\u041e\u0411\u0410 \u0411\u043e\u0433\u0434\u0430\u043d
\n\u041d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 “\u041b\u044c\u0432\u0456\u0432\u0441\u044c\u043a\u0430 \u043f\u043e\u043b\u0456\u0442\u0435\u0445\u043d\u0456\u043a\u0430”
\nORCID ID: 0000-0001-5983-1042<\/a>
\ne-mail: bohdan.khudoba@gmail.com
\nKAMINSKY Roman, SHAKHOVSKA Nataliya, KHUDOBA Bohdan
\nLviv Polytechnic National University<\/p>\n

\u0410\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u043c\u043e\u0432\u043e\u044e \u043e\u0440\u0438\u0433\u0456\u043d\u0430\u043b\u0443<\/strong><\/p>\n

\u041e\u0441\u043d\u043e\u0432\u043d\u043e\u044e \u043c\u0435\u0442\u043e\u044e \u0434\u0430\u043d\u043e\u0433\u043e \u0434\u043e\u0441\u043b\u0456\u0434\u0436\u0435\u043d\u043d\u044f \u0454 \u0440\u043e\u0437\u0440\u043e\u0431\u043b\u0435\u043d\u043d\u044f \u043c\u0435\u0442\u043e\u0434\u043e\u043b\u043e\u0433\u0456\u0457 \u043e\u0440\u0433\u0430\u043d\u0456\u0437\u0430\u0446\u0456\u0457\u00a0 \u0435\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0432\u0456\u0434\u0431\u043e\u0440\u0443 \u043e\u043f\u0435\u0440\u0430\u0442\u043e\u0440\u0441\u044c\u043a\u043e\u0433\u043e \u043f\u0435\u0440\u0441\u043e\u043d\u0430\u043b\u0443 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0456 \u0434\u043e\u0441\u043b\u0456\u0434\u0436\u0435\u043d\u043d\u044f \u0439\u043e\u0433\u043e \u043f\u043e\u0432\u0435\u0434\u0456\u043d\u043a\u0438 \u0432\u0456\u0434 \u0432\u043f\u043b\u0438\u0432\u0443 \u043c\u0456\u043a\u0440\u043e\u0441\u0442\u0440\u0435\u0441\u0456\u0432. \u0420\u043e\u0437\u0440\u043e\u0431\u043b\u0435\u043d\u043e \u043c\u043e\u0434\u0435\u043b\u044c \u043b\u044e\u0434\u0438\u043d\u043e-\u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u0456\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441\u0443, \u044f\u043a\u0430 \u0432\u0440\u0430\u0445\u043e\u0432\u0443\u0454 \u0437\u043c\u0456\u043d\u0443 \u0444\u0443\u043d\u043a\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0441\u0442\u0430\u043d\u0443 \u043b\u044e\u0434\u0438\u043d\u0438-\u043e\u043f\u0435\u0440\u0430\u0442\u043e\u0440\u0430.
\n\u041a\u043b\u044e\u0447\u043e\u0432\u0456 \u0441\u043b\u043e\u0432\u0430:<\/strong> \u043e\u043f\u0435\u0440\u0430\u0442\u043e\u0440\u0441\u044c\u043a\u0430 \u0434\u0456\u044f\u043b\u044c\u043d\u0456\u0441\u0442\u044c, \u0447\u0430\u0441\u043e\u0432\u0456 \u0440\u044f\u0434\u0438, \u0441\u0442\u0440\u0435\u0441\u043e\u0441\u0442\u0456\u0439\u043a\u0456\u0441\u0442\u044c.<\/p>\n

\u0420\u043e\u0437\u0448\u0438\u0440\u0435\u043d\u0430 \u0430\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u0430\u043d\u0433\u043b\u0456\u0439\u0441\u044c\u043a\u043e\u044e \u00a0\u043c\u043e\u0432\u043e\u044e<\/strong><\/p>\n

In modern information and search automated systems, the main role is played by the human-machine interface for decision-making based on the detection of objects of a given class in the information field. The human operator, as an element of such an interface, carefully reviews the provided information on the information field – the monitor screen, analyzing images of scenes, for example, pictures of territories, economic tables, abstract data, etc. Based on the received results of the analysis, the operator forms or chooses from a set of alternatives the appropriate decision, for which he mostly bears some responsibility. Such, let’s call them primary solutions, can be both final and the basis for further functions of this search engine. However, among the factors that in one way or another can negatively affect the quality of work of this interface, one of the first places is stress in the form of a collection of micro stresses. The main goal of this study is to develop a methodology for the organization of experimental selection of operator personnel based on the study of their behavior under the influence of micro-stresses. A human-machine interface model has been developed, which takes into account the change in the functional state of the human operator. The presented concept of the difficulty of detecting the object of attention contributed to the development of a special sequence of ordinary test images with stressor images included in it, and presented models of the flow of presenting test images to the recipient. With the help of descriptive statistics, the parameters of individual boxplot diagrams were determined and the recipient group was clustered. Overall, the proposed approach based on the example of the conducted grouping makes it possible to ensure the objectivity and efficiency of the professional selection of applicants for operator specialties. The developed methodology is of practical importance and can be used in systems of training, certification and professional selection of operator personnel.
\nKeywords:<\/strong> operator activity, time series, stress resistance.<\/p>\n

\u041b\u0456\u0442\u0435\u0440\u0430\u0442\u0443\u0440\u0430<\/strong><\/p>\n

    \n
  1. \u041f\u0440\u0456\u0441\u043d\u044f\u043a\u043e\u0432\u0430 \u041b. \u0414\u043e \u043c\u043e\u0434\u0435\u043b\u044e\u0432\u0430\u043d\u043d\u044f \u043f\u043e\u0432\u0435\u0434\u0456\u043d\u043a\u0438 \u043b\u044e\u0434\u0438\u043d\u0438 \/ \u041b\u044e\u0434\u043c\u0438\u043b\u0430 \u041f\u0440\u0456\u0441\u043d\u044f\u043a\u043e\u0432\u0430, \u0412\u043e\u043b\u043e\u0434\u0438\u043c\u0438\u0440 \u041f\u0440\u0456\u0441\u043d\u044f\u043a\u043e\u0432 \/\/ \u041f\u0441\u0438\u0445\u043e\u043b\u043e\u0433\u0456\u044f \u0456 \u0441\u0443\u0441\u043f\u0456\u043b\u044c\u0441\u0442\u0432\u043e. \u2013 2004. \u2013 \u2116 3. \u2013 \u0421. 91\u201398.<\/li>\n
  2. \u041c\u043e\u0447\u0443\u0440\u0430\u0434 \u041b.\u0406. \u041c\u043e\u0434\u0435\u043b\u044e\u0432\u0430\u043d\u043d\u044f \u0441\u0442\u0440\u0435\u0441\u043e\u0432\u043e\u0457 \u0441\u0438\u0442\u0443\u0430\u0446\u0456\u0457 \u043b\u044e\u0434\u0438\u043d\u0438 \u0432 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u043e\u0432\u0430\u043d\u0438\u0445 \u0441\u0438\u0441\u0442\u0435\u043c\u0430\u0445 \u0443\u043f\u0440\u0430\u0432\u043b\u0456\u043d\u043d\u044f \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0456\u0447\u043d\u0438\u043c\u0438 \u043f\u0440\u043e\u0446\u0435\u0441\u0430\u043c\u0438 \/ \u041b.\u0406. \u041c\u043e\u0447\u0443\u0440\u0430\u0434, \u041d.\u0406. \u0411\u043e\u0439\u043a\u043e, \u041c.\u0412. \u042f\u0446\u043a\u0456\u0432 \/\/ \u041d\u0430\u0443\u043a\u043e\u0432\u0438\u0439 \u0432\u0456\u0441\u043d\u0438\u043a \u041d\u041b\u0422\u0423 \u0423\u043a\u0440\u0430\u0457\u043d\u0438. \u2013 2020. \u2013 \u0422. 30, \u2116 1. \u2013 \u0421. 152\u2013157.<\/li>\n
  3. Mathematical modeling of learning. Peter F. W. PREECE The School of Education, University of Exeter, St. Luke 3, Exeter, EX 1 2L U, England. JOURNAL OF RESEARCH IN SCIENCE TEACHING VOL. 21, NO. 9, PP. 953-955 (1984).<\/li>\n
  4. Learning Rate Sensitivity Model Nichols F. Brown System of Systems Engineering Office Systems Engineering Division Timothy P. Anderson Integrated Cost and Schedule Analysis Department Systems Engineering Division. Presented at the 2018 ICEAA Professional Development & Training Workshop. www.iceaaonline.com<\/li>\n
  5. Josiah Dykstra, Celeste Lyn Pau. Cyber Operations Stress Survey (COSS): Studying fatigue, frustration, and cognitive workload in cybersecurity operations. CSET’18: Proceedings of the 11th USENIX Conference on Cyber Security Experimentation and TestAugust 2018 Pages 1. https:\/\/www.usenix.org\/conference\/cset18\/presentation\/dykstra<\/li>\n
  6. Yurii Kryvenchuk, Ihor Helzynskyy, Tetiana Helzhynska, Nataliya Boyko, Roman Danel. URL: http:\/\/ceur-ws.org\/Vol-2488\/paper26.pdf.<\/li>\n
  7. Workplace Stress: A collective challenge \u2013 Report, 04 April 2016, 978-92-2-130642-9[ISBN]. URL: https:\/\/www.ilo.org\/safework\/info\/publications\/WCMS_466547\/lang–en\/index.htm<\/li>\n
  8. \u041b\u0456\u043d\u0434\u0435\u0440 \u0404. \u0421\u0442\u0440\u0435\u0441-\u0442\u0435\u0441\u0442\u0443\u0432\u0430\u043d\u043d\u044f \u044f\u043a \u0456\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442 \u0430\u043d\u0430\u043b\u0456\u0437\u0443 \u0444\u0456\u043d\u0430\u043d\u0441\u043e\u0432\u043e\u0457 \u0441\u0442\u0456\u0439\u043a\u043e\u0441\u0442\u0456 \u0431\u0430\u043d\u043a\u0456\u0432\u0441\u044c\u043a\u0438\u0445 \u0443\u0441\u0442\u0430\u043d\u043e\u0432 \/ \u0410\u043d\u0430\u043b\u0456\u0442\u0438\u0447\u043d\u0435 \u0437\u0430\u0431\u0435\u0437\u043f\u0435\u0447\u0435\u043d\u043d\u044f \u0434\u0456\u044f\u043b\u044c\u043d\u043e\u0441\u0442\u0456 \u0431\u0456\u0437\u043d\u0435\u0441\u0443 \/ \u0404. \u041b\u0456\u043d\u0434\u0435\u0440 \/\/ \u041c\u0456\u0436\u043d\u0430\u0440. \u043d\u0430\u0443\u043a. \u0436\u0443\u0440\u043d\u0430\u043b. \u2013 2016. \u2013 \u0412\u0438\u043f. 4. \u2013 \u0421. 73\u201379.<\/li>\n
  9. \u0414\u0430\u043d\u0456\u043b\u043e\u0432\u0430 \u041b. \u0406. \u0421\u0442\u0440\u0435\u0441-\u0442\u0435\u0441\u0442\u0443\u0432\u0430\u043d\u043d\u044f \u0432 \u0441\u0438\u0441\u0442\u0435\u043c\u0456 \u0440\u0438\u0437\u0438\u043a-\u043c\u0435\u043d\u0435\u0434\u0436\u043c\u0435\u043d\u0442\u0443 \u0431\u0430\u043d\u043a\u0443 \/ \u041b. \u0406. \u0414\u0430\u043d\u0456\u043b\u043e\u0432\u0430, \u0412. \u0412. \u0421\u0430\u0432\u043e\u0447\u043a\u0430 \/\/ \u0415\u043a\u043e\u043d\u043e\u043c\u0456\u0447\u043d\u0438\u0439 \u0430\u043d\u0430\u043b\u0456\u0437. \u2013 2014. \u2013 \u0422. 15, \u2116 1. \u2013 \u0421. 244\u2013252. \u2013 \u0420\u0435\u0436\u0438\u043c \u0434\u043e\u0441\u0442\u0443\u043f\u0443 : http:\/\/nbuv.gov.ua\/UJRN\/ecan_2014_15(1)__27.<\/li>\n
  10. \u041a\u043e\u0448\u0435\u043b\u044c\u043e\u043a \u0413.\u0412. \u041c\u0435\u0442\u043e\u0434\u0438\u043a\u0430 \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u043d\u044f \u0441\u0442\u0440\u0435\u0441-\u0442\u0435\u0441\u0442\u0443\u0432\u0430\u043d\u043d\u044f \u0440\u0438\u0437\u0438\u043a\u0456\u0432 \u0433\u0440\u043e\u0448\u043e\u0432\u0438\u0445 \u043f\u043e\u0442\u043e\u043a\u0456\u0432 \u043f\u0456\u0434\u043f\u0440\u0438\u0454\u043c\u0441\u0442\u0432\u0430 \/ \u0413.\u0412. \u041a\u043e\u0448\u0435\u043b\u044c\u043e\u043a \/\/ \u041f\u0440\u0438\u0430\u0437\u043e\u0432\u0441\u044c\u043a\u0438\u0439 \u0435\u043a\u043e\u043d\u043e\u043c\u0456\u0447\u043d\u0438\u0439 \u0432\u0456\u0441\u043d\u0438\u043a. \u2013 2017. \u2013 \u0412\u0438\u043f\u0443\u0441\u043a 5(05).<\/li>\n
  11. \u041c\u0456\u043d\u0446\u0435\u0440 \u041e. \u041f. \u0406\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0456\u0439\u043d\u0456 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0456\u0457 \u043e\u0446\u0456\u043d\u044e\u0432\u0430\u043d\u043d\u044f \u0432\u043f\u043b\u0438\u0432\u0443 \u0441\u0442\u0440\u0435\u0441\u0443 \u043d\u0430 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0438 \u0442\u0435\u0441\u0442\u043e\u0432\u043e\u0433\u043e \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u044e \u0437\u043d\u0430\u043d\u044c \u043b\u0456\u043a\u0430\u0440\u0456\u0432. \u0430\u043d\u0430\u043b\u0456\u0442\u0438\u0447\u043d\u0438\u0439 \u043e\u0433\u043b\u044f\u0434. \u041f\u0435\u0440\u0448\u0435 \u043f\u043e\u0432\u0456\u0434\u043e\u043c\u043b\u0435\u043d\u043d\u044f \/ \u041e. \u041f. \u041c\u0456\u043d\u0446\u0435\u0440, \u0421. \u041f. \u041a\u043e\u0448\u043e\u0432\u0430 \/\/ \u041c\u0435\u0434\u0438\u0447\u043d\u0430 \u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0442\u0438\u043a\u0430 \u0442\u0430 \u0456\u043d\u0436\u0435\u043d\u0435\u0440\u0456\u044f. \u2013 2017. \u2013 \u2116 4. \u2013 \u0421. 36\u201343.<\/li>\n
  12. Nancy J.M. Allen and Ronald T. Essel. The Roles of Human Operator and Machine in Decision Aid Strategies for Target Detection. URL: https:\/\/www.researchgate.net\/publication\/235023362_The_Roles_of_Human_Operator_and_Machine_in_Decision_Aid_Strategies_for_Target_Detection<\/li>\n
  13. \u0424\u0435\u0442\u0456\u0441\u043e\u0432 \u0412.\u0421. \u041a\u043e\u043c\u043f\u2019\u044e\u0442\u0435\u0440\u043d\u0456 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0456\u0457 \u0432 \u0442\u0435\u0441\u0442\u0443\u0432\u0430\u043d\u043d\u0456 \/ \u0424\u0435\u0442\u0456\u0441\u043e\u0432 \u0412.\u0421. \u2013 \u041d\u0456\u0436\u0438\u043d : \u0412\u0438\u0434\u0430\u0432\u0435\u0446\u044c \u041f\u041f \u041b\u0438\u0441\u0435\u043d\u043a\u043e \u041c.\u041c., 2011. \u2013 140 \u0441.<\/li>\n
  14. \u0416\u0443\u0439\u043a\u043e\u0432 \u0414.\u0411., \u0410\u043d\u0430\u043b\u0456\u0437 \u043d\u043e\u0432\u0438\u0445 \u0456\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0456\u0439\u043d\u0438\u0445 \u0442\u0430 \u043a\u043e\u043c\u043f\u2019\u044e\u0442\u0435\u0440\u043d\u043e-\u0442\u0440\u0435\u043d\u0430\u0436\u0435\u0440\u043d\u0438\u0445 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0456\u0439 \u0440\u043e\u0437\u0440\u043e\u0431\u043a\u0438 \u0442\u0430 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f \u0456\u0441\u043d\u0443\u044e\u0447\u0438\u0445 \u0456\u043d\u0442\u0435\u0440\u0430\u043a\u0442\u0438\u0432\u043d\u0438\u0445 \u043d\u0430\u0432\u0447\u0430\u043b\u044c\u043d\u043e-\u0442\u0440\u0435\u043d\u0443\u0432\u0430\u043b\u044c\u043d\u0438\u0445 \u043a\u043e\u043c\u043f\u043b\u0435\u043a\u0441\u0456\u0432 \/ \u0414.\u0411. \u0416\u0443\u0439\u043a\u043e\u0432, \u0412.\u0406. \u0421\u0435\u043c\u0435\u043d\u044e\u043a, \u041e.\u0412. \u0412\u0438\u0441\u043e\u0446\u044c\u043a\u0438\u0439, \u041e.\u0413. \u0414\u0432\u0443\u0445\u0456\u043c\u0435\u043d\u043d\u0438\u0439, \u0414.\u0421. \u0416\u0438\u0442\u043d\u0438\u043a, \u0414.\u0410. \u0421\u0442\u0435\u043f\u0447\u0435\u043d\u043a\u043e \/\/ THEORY AND PRACTICE OF SCIENCE: KEY ASPECTS: SCIENTIFIC COLLECTION \u00abINTERCONF\u00bb. \u2013 \u2116 58. \u2013 \u0421. 338\u2013357.<\/li>\n
  15. Chuanqi Tao, Dongyu Cao, Hongjing Guo, Jerry Gao. A Case Study of Testing an Image Recognition Application. DOI: 10.18293\/SEKE2021-194. URL https:\/\/www.researchgate.net\/publication\/353609357_A_Case_Study_of_Testing_an_Image_Recognition_Application\/link\/6105b858169a1a0103cc8eae\/download<\/li>\n
  16. \u0411\u0443\u0442\u0443\u0441\u0435\u0432\u0438\u0447 \u0410. \u041f\u0456\u0434\u0431\u0438\u0440\u0430\u0454\u043c\u043e \u043f\u0435\u0440\u0441\u043e\u043d\u0430\u043b: \u043c\u0435\u0442\u043e\u0434\u0438 \u0456 \u0442\u0438\u043f\u043e\u0432\u0456 \u043f\u043e\u043c\u0438\u043b\u043a\u0438 \/\/ \u0420\u0435\u0436\u0438\u043c \u0434\u043e\u0441\u0442\u0443\u043f\u0443: https:\/\/kadrhelp.com.ua\/pidbyrayemo-personal-metody-i-typovi-pomylky<\/li>\n
  17. \u041f\u0456\u0434\u043f\u0430\u043b\u0430 \u0422.\u0412. \u0421\u0435\u0440\u0442\u0438\u0444\u0456\u043a\u0430\u0446\u0456\u044f \u043f\u0435\u0440\u0441\u043e\u043d\u0430\u043b\u0443 : \u043a\u0443\u0440\u0441 \u043b\u0435\u043a\u0446\u0456\u0439 \/ \u0422. \u0412. \u041f\u0456\u0434\u043f\u0430\u043b\u0430, \u0406. \u0412. \u041d\u0430\u0437\u0430\u0440\u0435\u043d\u043a\u043e. \u2013 \u041c\u0438\u043a\u043e\u043b\u0430\u0457\u0432 : \u041c\u041d\u0410\u0423, 2016.\u201357 \u0441.<\/li>\n
  18. \u0421\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u043c\u0435\u0442\u043e\u0434\u044b \u0434\u043b\u044f \u042d\u0412\u041c. \u2013 \u041c. : \u041d\u0430\u0443\u043a\u0430, 1986. \u2013 464 \u0441.<\/li>\n<\/ol>\n

    References<\/strong><\/p>\n

      \n
    1. Prisniakova L. Do modeliuvannia povedinky liudyny \/ Liudmyla Prisniakova, Volodymyr Prisniakov \/\/ Psykholohiia i suspilstvo. \u2013 2004. \u2013 \u2116 3. \u2013 S. 91\u201398.<\/li>\n
    2. Mochurad L.I. Modeliuvannia stresovoi sytuatsii liudyny v avtomatyzovanykh systemakh upravlinnia tekhnolohichnymy protsesamy \/ L.I. Mochurad, N.I. Boiko, M.V. Yatskiv \/\/ Naukovyi visnyk NLTU Ukrainy. \u2013 2020. \u2013 T. 30, \u2116 1. \u2013 S. 152\u2013157.<\/li>\n
    3. Mathematical modeling of learning. Peter F. W. PREECE The School of Education, University of Exeter, St. Luke 3, Exeter, EX 1 2L U, England. JOURNAL OF RESEARCH IN SCIENCE TEACHING VOL. 21, NO. 9, PP. 953-955 (1984).<\/li>\n
    4. Learning Rate Sensitivity Model Nichols F. Brown System of Systems Engineering Office Systems Engineering Division Timothy P. Anderson Integrated Cost and Schedule Analysis Department Systems Engineering Division. Presented at the 2018 ICEAA Professional Development & Training Workshop. www.iceaaonline.com<\/li>\n
    5. Josiah Dykstra, Celeste Lyn Pau. Cyber Operations Stress Survey (COSS): Studying fatigue, frustration, and cognitive workload in cybersecurity operations. CSET18: Proceedings of the 11th USENIX Conference on Cyber Security Experimentation and TestAugust 2018 Pages 1. https:\/\/www.usenix.org\/conference\/cset18\/presentation\/dykstra<\/li>\n
    6. Yurii Kryvenchuk, Ihor Helzynskyy, Tetiana Helzhynska, Nataliya Boyko, Roman Danel. URL: http:\/\/ceur-ws.org\/Vol-2488\/paper26.pdf.<\/li>\n
    7. Workplace Stress: A collective challenge \u2013 Report, 04 April 2016, 978-92-2-130642-9[ISBN]. URL: https:\/\/www.ilo.org\/safework\/info\/publications\/WCMS_466547\/lang–en\/index.htm<\/li>\n
    8. Linder Ye. Stres-testuvannia yak instrument analizu finansovoi stiikosti bankivskykh ustanov \/ Analitychne zabezpechennia diialnosti biznesu \/ Ye. Linder \/\/ Mizhnar. nauk. zhurnal. \u2013 2016. \u2013 Vyp. 4. \u2013 S. 73\u201379.<\/li>\n
    9. Danilova L. I. Stres-testuvannia v systemi ryzyk-menedzhmentu banku \/ L. I. Danilova, V. V. Savochka \/\/ Ekonomichnyi analiz. \u2013 2014. \u2013 T. 15, \u2116 1. \u2013 S. 244\u2013252. \u2013 Rezhym dostupu : http:\/\/nbuv.gov.ua\/UJRN\/ecan_2014_15(1)__27.<\/li>\n
    10. Koshelok H.V. Metodyka provedennia stres-testuvannia ryzykiv hroshovykh potokiv pidpryiemstva \/ H.V. Koshelok \/\/ Pryazovskyi ekonomichnyi visnyk. \u2013 2017. \u2013 Vypusk 5(05).<\/li>\n
    11. Mintser O. P. Informatsiini tekhnolohii otsiniuvannia vplyvu stresu na rezultaty testovoho kontroliu znan likariv. analitychnyi ohliad. Pershe povidomlennia \/ O. P. Mintser, S. P. Koshova \/\/ Medychna informatyka ta inzheneriia. \u2013 2017. \u2013 \u2116 4. \u2013 S. 36\u201343.<\/li>\n
    12. Nancy J.M. Allen and Ronald T. Essel. The Roles of Human Operator and Machine in Decision Aid Strategies for Target Detection. URL: https:\/\/www.researchgate.net\/publication\/235023362_The_Roles_of_Human_Operator_and_Machine_in_Decision_Aid_Strategies_for_Target_Detection<\/li>\n
    13. Fetisov V.S. Kompiuterni tekhnolohii v testuvanni \/ Fetisov V.S. \u2013 Nizhyn : Vydavets PP Lysenko M.M., 2011. \u2013 140 s.<\/li>\n
    14. Zhuikov D.B., Analiz novykh informatsiinykh ta kompiuterno-trenazhernykh tekhnolohii rozrobky ta vykorystannia isnuiuchykh interaktyvnykh navchalno-trenuvalnykh kompleksiv \/ D.B. Zhuikov, V.I. Semeniuk, O.V. Vysotskyi, O.H. Dvukhimennyi, D.S. Zhytnyk, D.A. Stepchenko \/\/ THEORY AND PRACTICE OF SCIENCE: KEY ASPECTS: SCIENTIFIC COLLECTION \u00abINTERCONF\u00bb. \u2013 \u2116 58. \u2013 S. 338\u2013357.<\/li>\n
    15. Chuanqi Tao, Dongyu Cao, Hongjing Guo, Jerry Gao. A Case Study of Testing an Image Recognition Application. DOI: 10.18293\/SEKE2021-194. URL https:\/\/www.researchgate.net\/publication\/353609357_A_Case_Study_of_Testing_an_Image_Recognition_Application\/link\/6105b858169a1a0103cc8eae\/download<\/li>\n
    16. Butusevych A. Pidbyraiemo personal: metody i typovi pomylky \/\/ Rezhym dostupu: https:\/\/kadrhelp.com.ua\/pidbyrayemo-personal-metody-i-typovi-pomylky<\/li>\n
    17. Pidpala T.V. Sertyfikatsiia personalu : kurs lektsii \/ T. V. Pidpala, I. V. Nazarenko. \u2013 Mykolaiv : MNAU, 2016.\u201357 s.<\/li>\n
    18. Statisticheskie metody dlia E \u2013 M. : Nauka, 1986. \u2013 464 s.<\/li>\n<\/ol>\n

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