Application of the Cognitive Load Indicator of a Graphic Element to Justify the Requirements for a Long-Range Discrimination Radar Visualization System.

The article presents the results of a study on the use of an indicator of cognitive load on the operator of a long-range discrimination (LRD) radar when interacting with the graphic element of the visualization system of the LRD radar under the influence of destructive factors. An original method for substantiating the requirements for the structure of a visualization system is proposed, based on combining the principles of the theory of engineering psychology, ergonomics, cognitive graphics, taking into account the cognitive resources of the radar operator. The technique is formalized in the form of a problem of minimizing a general criterion characterizing the efficiency of operators and their capacity for information in the “man-machine” system, taking into account the cognitive load indicator. It is shown that the use of the indicator makes it possible to justify the requirements for the structure of the visualization system, namely a graphical interface that can reduce the influence of negative factors on the operator of the radar station, especially under strict time constraints. The results of a computational experiment to evaluate the effectiveness of using the cognitive load indicator when choosing a graphic element of a visualization system are presented, demonstrating an increase in the functional characteristics of the radar operator when performing tasks.

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Publication Details

Journal
Scientific Visualization
Published
2024-08-01
DOI
https://doi.org/10.26583/sv.16.3.09
Citations
6
Primary Topic
Geodetic Measurements and Engineering Structures
Type
article
Field-Weighted Citation Impact
1.57
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article

Application of the Cognitive Load Indicator of a Graphic Element to Justify the Requirements for a Long-Range Discrimination Radar Visualization System.

Sergey Matseevich, A. S. Zakharov, U.A. Vladko, A.D. Zyuzina et al.
6 citations
Scientific Visualization
Geodetic Measurements and Engineering Structures
1.57
article

Application of the Cognitive Load Indicator of a Graphic Element to Justify the Requirements for a Long-Range Discrimination Radar Visualization System.

Sergey Matseevich, A. S. Zakharov, U.A. Vladko, A.D. Zyuzina, M.N. Mochalov
article en
6 citations

Abstract

The article presents the results of a study on the use of an indicator of cognitive load on the operator of a long-range discrimination (LRD) radar when interacting with the graphic element of the visualization system of the LRD radar under the influence of destructive factors. An original method for substantiating the requirements for the structure of a visualization system is proposed, based on combining the principles of the theory of engineering psychology, ergonomics, cognitive graphics, taking into account the cognitive resources of the radar operator. The technique is formalized in the form of a problem of minimizing a general criterion characterizing the efficiency of operators and their capacity for information in the “man-machine” system, taking into account the cognitive load indicator. It is shown that the use of the indicator makes it possible to justify the requirements for the structure of the visualization system, namely a graphical interface that can reduce the influence of negative factors on the operator of the radar station, especially under strict time constraints. The results of a computational experiment to evaluate the effectiveness of using the cognitive load indicator when choosing a graphic element of a visualization system are presented, demonstrating an increase in the functional characteristics of the radar operator when performing tasks.

Scientific VisualizationVol. 16(3)
Lomonosov Moscow State University (RU), Almaz-Antey (Russia) (RU), Moscow Polytechnic University (RU)
Reduced inequalities
Openalex Percentile: Top 19%
Geodetic Measurements and Engineering Structures
1.57
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Application of the Cognitive Load Indicator of a Graphic Element to Justify the Requirements for a Long-Range Discrimination Radar Visualization System. — Sergey Matseevich, A. S. Zakharov, et al. · Scientific Visualization (2024) | TGRS Research Map | TGRS