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Modern Views on Visual Attention Mechanisms

  • Lubov Podladchikova
  • Anatoly Samarin
  • Dmitry Shaposhnikov
  • Mikhail Petrushan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 636)

Abstract

The results of our psychophysical tests by eye movement recording and the following stages of research have been considered. Several groups of the known findings in this area were determined, namely: (i) unresolved objectives; (ii) contradictory data; (iii) findings which propose revision of some views; (iv) similar findings obtained in different research centers. The most important results of our psychophysical tests are as follows: (a) bimodal distribution of fixation duration during joint presentation of target objects and distractors; (b) dynamical formation of target images creates conditions for dosed change of perceptual load; (c) decrease of fixation duration and increase of saccade amplitude during the last test stage when volunteer makes the decision about completion of the current visual task; (d) structure of viewing scan path, fixation density and duration, probability of return fixations are specific for each human during viewing of the affective images; (e) return fixations are arranged with reference to areas of interest on image; (f) spatial distribution of fixation duration, velocity and amplitude of saccades are significantly different between tests of viewing of 2D images and navigation in 3D environment. Using of the obtained results in realistic mathematical models of visual attention has been discussed.

Keywords

Visual attention Eye movements 2D images 3D environment Individual peculiarities of viewing Return fixations 

Notes

Acknowledgement

The work is supported in part by projects of Ministry of education and science of RF No 2.955.2017/4.6 and No 6.5961.2017/8.9.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Lubov Podladchikova
    • 1
  • Anatoly Samarin
    • 1
  • Dmitry Shaposhnikov
    • 1
  • Mikhail Petrushan
    • 1
  1. 1.Centre of NeurotechnologiesSouthern Federal UniversityRostov-on-DonRussia

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