Computer Eye-Tracking Model to Investigate Influence of the Viewer’s Perception of the Graphic Information

Author:

Borevich Ekaterina1ORCID,Mescheryakov Serg1ORCID,Yanchus Victor1ORCID

Affiliation:

1. Peter the Great St. Petersburg Polytechnic University

Abstract

The goal is to study the visual perception of graphic composition of various styles. An original author's method of conducting an experiment has been developed, which includes the preparation of stimulus material, collecting data, and statistical algorithms to analyze parametric data. The stimulus materials were based on graphic images in the cubism and abstractionism styles as well as on photorealistic images. An eye-tracking equipment was used to record eye movement activity and collect experimental data. The statistical analysis of the parametric data of the observer's viewing pattern has revealed that the viewer’s perception of visual information is more effective by observers with art education. The results are of importance for developing effective training and test systems for operators, users, GUI developers, etc.

Publisher

Keldysh Institute of Applied Mathematics

Reference14 articles.

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4. E. V. Borevich, S. V. Meshcheryakov, V. E. Yanchus, Effective methods and models of digital processing of film material, Graphicon-2017: tr. 27th Intern. conf. on computer graphics and machine vision. Perm: Perm State Research University, No. 27 (2017) 51-54.

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