Methods of complex estimation of cognitive graphic images

To solve social dilemmas in multi-agent reinforcement learning it is necessary to formalize the corresponding reward functions in the form of aggregation operators. Such formalization encounters difficulties associated with the lack of an intuitive vision of the aggregation process among many practitioners. Various visualization methods have been proposed to overcome these difficulties. The proposed methods have disadvantages that prevent their wide application. The method proposed in the article differs from the existing ones by the use of a three-dimensional cognitive image which corresponds to a physical object with a well-developed intuitive spatial and physical perception. This method is based on the use of 3D cognitive graphics. The properties of the aggregation operator are directly related to the properties of the physical object which has a well-developed intuitive representation. An absolutely solid plane fixed on the support line by springs acts as such an object. The result of aggregation corresponds to the angle of deviation of the plane from the horizon. By placing loads that meet the criteria and indices of their interaction on this plane it is possible to simulate the corresponding operator including by means of virtual reality. A preliminary asessment of the formal properties of the proposed method was carried out in comparison with existing visualization methods using the example of the Choquet integral of the 2nd order. Based on the results of this assessment conclusions were drawn about the advantages of a three-dimensional balance model over existing visualization methods and the feasibility of continuing work in this direction.

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A Set of Algorithms for Optimal Design and Evaluation of the Effectiveness of the Visual Component of Graphical User Interfaces

Vostryh

2024

Scientific and Analytical Journal «Vestnik Saint-Petersburg University of State Fire Service of EMERCOM of Russia»

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Modernity is characterized by comprehensive digitalization, leading to an increase in the number of software products, an integral part of which are graphical user interfaces, which act as an intermediary between users and software algorithms, allowing them to comfortably and efficiently perform the required tasks. Most modern software products have low-efficiency interfaces, which leads to a decrease in the performance of users and an increase in intrapsychological stress on them. In order to improve the efficiency of interfaces, this article describes the formulation of the problem of developing a set of algorithms for optimal design and evaluation of the effectiveness of the visual component of graphical user interfaces. To develop a set of algorithms, this article presents a range of proprietary indicators for each of the areas, as well as an analysis of existing quantitative methods for assessing the effectiveness of interfaces for the possibility of using them to calculate the indicators mentioned above. It is concluded that existing approaches are capable of providing a formalized representation of only part of the author’s indicators. The planned set of algorithms, after implementation, will hypothetically allow for a comprehensive assessment of interfaces, as well as finding defects in them that reduce their effectiveness, which, if eliminated, will improve the quality of both interfaces and programs in general, increasing the performance and comfort of interaction with user programs.

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Methods of complex estimation of cognitive graphic images

Cited by 3 publications

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Cognitive Images for the Visual Analysis of the States of Complex Objects in Relation to the Space Industry

Cognitive Images for the Visual Analysis of the States of Complex Objects in Relation to the Space Industry

Aggregation Operators Visualization Using 3d Cognitive Graphics

A Set of Algorithms for Optimal Design and Evaluation of the Effectiveness of the Visual Component of Graphical User Interfaces

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