QUALITY MODEL OF MEDIA SYSTEMS WITH INFOGRAPHIC DATA

Abstract

The study of the quality of media systems development, which incorporates a large volume of infographic data, is a highly relevant task, as the increasing amount of information demands new approaches to its presentation that ensure rapid and efficient perception. This paper is dedicated to analyzing the factors influencing the quality of media systems development and constructing a model of prioritized factor influence, which will serve as the foundation for further research into predictive quality evaluation.

The article employs graph theory tools and systems analysis methods, specifically the mathematical hierarchy modeling method. Based on expert evaluation, a set of factors influencing the quality of media systems development has been identified, including the target audience, content, interactivity, layout, prototype, typography, and data visualization. The influences and dependencies between these factors have been visualized using a directed graph. The priorities of the factors were determined through the method of mathematical hierarchy modeling, which involves the formation of a binary factor reachability matrix and the construction of iterative tables. These iterative tables contain information on the ordinal number of the factor in the set, the subset of reachable vertices, the subset of predecessor vertices, and the intersection of the subsets. It was found that the highest rank belongs to the factors “target audience” and “content”, while the lowest rank was assigned to the “typography” factor. Based on the data obtained during the iteration process, a model of prioritized factor influence on the quality of media systems development with infographic data was synthesized.

The constructed model will assist in more effectively allocating resources, such as time and funds, across the key stages of media systems creation. Additionally, it will help minimize risks associated with the product’s mismatch with the target audience's needs, thereby reducing additional costs in the development process.