Cognitive Design of System Objects in Computer Science: Considering the Features of Perception and Consciousness

Authors

DOI:

https://doi.org/10.32523/3080-1710-2026-154-1-101-116

Keywords:

cognitive design, system object, cognitive load, emotional design, human-computer interaction, visualization, neuroadaptive interfaces

Abstract

This article examines the impact of the cognitive design of system objects in computer science on the processes of user perception and consciousness. The increasing complexity of modern information systems requires that their design take into account not only technical factors but also cognitive and emotional aspects. The study is based on key theoretical concepts: cognitive load theory (Sweller, 1988), principles of multimedia learning (Mayer, 2009), principles of visual information presentation (Tufte, 2001; Ware, 2012), and the emotional design model (Norman, 2002).

The research methodology is grounded in qualitative comparative analysis. An expert evaluation of the interfaces of three Kazakhstani educational digital platforms (BilimLand, Kundelik, Smart Bilim) was conducted by three experts (informatics teachers and a UX designer) using a 5-point scale. The main evaluation criteria included: level of cognitive load, visual hierarchy, navigation intuitiveness, emotional attractiveness, and quality of feedback.

The results demonstrate that maintaining visual hierarchy, dosed information delivery, minimization of extraneous elements («chartjunk»), and the use of positive emotional elements (soft colors, microanimations, friendly messages) increase the overall interface efficiency, enhance attention stability, and boost user motivation. In the Kazakhstani context, the integration of national ornamental elements significantly improves perception and concentration.

The study confirms the importance of comprehensively considering cognitive and emotional factors in the design of educational interfaces. As a promising direction, the development of neuroadaptive and intelligent interfaces capable of real-time adaptation based on neurophysiological data (EEG, eye-tracking) is proposed. This approach can serve as a scientific and methodological foundation for the development of national educational platforms within the framework of the state program «Digital Kazakhstan».

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Published

2026-03-31

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Статьи

How to Cite

Cognitive Design of System Objects in Computer Science: Considering the Features of Perception and Consciousness. (2026). Gumilyov Journal of Pedagogy, 154(1), 101-116. https://doi.org/10.32523/3080-1710-2026-154-1-101-116

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