ANALYSIS OF THE PERCEPTION QUALITY OF COMPLEX GRAPHICAL IMAGES WITH VARIOUS SETS OF CHARACTERISTIC PARAMETERS

Savelyev Alexey Alexandrovich, Zhidkov Egor Ilyich

The article investigates the quality of human perception of complex graphical images, encompassing both dynamic control objects and static elements that vary in contrast, detail, and size. The study employs an eye-tracking toolkit to collect data on user gaze behavior during interaction with such images, enabling the analysis of visual strategies and perceptual characteristics. Particular attention is given to the influence of characteristic parameters—color saturation, contrast level, and object scale—on the sequence, duration, and accuracy of their recognition. The obtained data reveal patterns of user attention and provide insights into how different visual properties affect cognitive information processing. The results of applying the eye tracker in this research hold practical value for optimizing user interface design, enhancing data visualization, and developing adaptive graphical systems.

Keywords:vision, gaze, tracking, interpolation, Python, scatter plot, heatmap.