实验研究和聚类搜索系统操作人员的抗压意识。

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Frontiers in Big Data Pub Date : 2023-10-23 eCollection Date: 2023-01-01 DOI:10.3389/fdata.2023.1239017
Nataliya Shakhovska, Roman Kaminskyi, Bohdan Khudoba
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引用次数: 0

摘要

引言:本研究的主要目标是在分析操作人员在微压力影响下的行为的基础上,开发一种组织操作人员实验选择的方法。方法:建立了一个考虑操作人员功能状态变化的人机界面模型。所提出的检测关注对象的困难概念有助于开发一个包含压力源图像的普通测试图像的特定序列,并提出了向接受者呈现测试图像的流程模型。结果:在描述性统计的帮助下,确定了个体箱图的参数,并对接受者群体进行了聚类。讨论:总的来说,基于分组的例子提出的方法可以确保操作员专业申请人专业选择的客观性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

Introduction: The 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.

Methods: A 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.

Results: With the help of descriptive statistics, the parameters of individual box-plot diagrams were determined, and the recipient group was clustered.

Discussion: 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.

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来源期刊
CiteScore
5.20
自引率
3.20%
发文量
122
审稿时长
13 weeks
期刊最新文献
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