Experimental study and clustering of operating staff of search systems in the sense of stress resistance

被引:0
|
作者
Shakhovska, Nataliya [1 ]
Kaminskyi, Roman [1 ]
Khudoba, Bohdan [1 ]
机构
[1] Lviv Polytech Natl Univ, Dept Artificial Intelligence, Lvov, Ukraine
来源
FRONTIERS IN BIG DATA | 2023年 / 6卷
基金
新加坡国家研究基金会;
关键词
human-machine; operator personnel; decision-making; clustering algorithm; stress management;
D O I
10.3389/fdata.2023.1239017
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
IntroductionThe main goal of this study is to develop a methodology for the organization of experimental selection of operator personnel based on the analysis of their behavior under the influence of micro-stresses.MethodsA human-machine interface model has been developed, which considers the change in the functional state of the human operator. The presented concept of the difficulty of detecting the object of attention contributed to developing a particular sequence of ordinary test images with stressor images included in it and presented models of the flow of presenting test images to the recipient.ResultsWith the help of descriptive statistics, the parameters of individual box-plot diagrams were determined, and the recipient group was clustered.DiscussionOverall, 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.
引用
收藏
页数:11
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