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.
Authors
- Sergey Matseevich (ORCID: https://orcid.org/0000-0003-1311-2194)
- A. S. Zakharov
- U.A. Vladko (ORCID: https://orcid.org/0009-0007-5907-3879)
- A.D. Zyuzina
- M.N. Mochalov (ORCID: https://orcid.org/0009-0005-8501-0009)
Institutions
- Lomonosov Moscow State University (RU)
- Almaz-Antey (Russia) (RU)
- Moscow Polytechnic University (RU)
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