Skip to main content

Modern Views on Visual Attention Mechanisms

  • Conference paper
  • First Online:
Biologically Inspired Cognitive Architectures (BICA) for Young Scientists (BICA 2017)

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

References

  1. Awh, E., Belopolsky, A.V., Theeuwes, J.: Top-down versus bottom-up attentional control: a failed theoretical dichotomy. Trends Cogn. Sci. 16(8), 437–443 (2012)

    Article  Google Scholar 

  2. Carrasco, M.: Visual attention: the past 25 years. Vis. Res. 51(13), 1484–1525 (2011)

    Article  Google Scholar 

  3. Henderson, J.M., Brockmole, J.R., Castelhano, M.S., Mack, M.: Visual saliency does not account for eye movements during visual search in real-world scenes. In: Eye Movements: A Window on Mind and Brain, pp. 537–562 (2007)

    Chapter  Google Scholar 

  4. Koch, C., Ullman, S.: Shifts in selective visual attention: towards the underlying neural circuitry. Hum. Neurobiol. 4, 219–227 (1985)

    Google Scholar 

  5. Koltunova, T.I., Podladchikova, L.N., Shaposhnikov, D.G., Vladimirskii, B.M., Syrkin, L.D., Kryuchkov, B.I., Usov, V.M.: Dynamics of the duration of gaze fixation and event-related potentials on presentation of fading-in images and distractors. Neurosci. Behav. Physiol. 47(3), 321–327 (2017)

    Article  Google Scholar 

  6. Kowler, E.: Eye movements: the past 25 years. Vis. Res. 51(13), 1457–1483 (2011)

    Article  Google Scholar 

  7. Lupianez, J., Klein, R.M., Bartolomeo, P.: Inhibition of return: twenty years after. Cogn. Neuropsychol. 23(7), 1003–1014 (2007)

    Article  Google Scholar 

  8. Nobre, A.C., Gitelman, D.R., Dias, E.C., Mesulam, M.M.: Covert visual spatial orienting and saccades: overlapping neural systems. Neuroimage 11, 210–216 (2000)

    Article  Google Scholar 

  9. Nuthmann, A., Smith, T.J., Engbert, R., Henderson, J.M.: CRISP: a computational model of fixation durations in scene viewing. Psychol. Rev. 117(2), 382–405 (2010)

    Article  Google Scholar 

  10. Podladchikova, L.N., Koltunova, T.I., Samarin, A.I., Petrushan, M.V., Shaposhnikov, D.G., Lomakina, O.V.: Modern Views on Visual Attention Mechanisms (in Russian). Publishing and Printing Department of KBI MEDIA CENTER SFedU, Rostov-on-Don (2017)

    Google Scholar 

  11. Podladchikova, L.N., Koltunova, T.I., Shaposhnikov, D.G., Lomakina, O.V.: Individual features of emotionally meaningful images viewing (in Russian). Russ. J. Physiol. 102(5), 618–627 (2016)

    Google Scholar 

  12. Podladchikova, L.N., et al.: Model-based approach to study the mechanisms of complex image viewing. Opt. Mem. Neural Netw. (Inf. Opt.) 18(2), 114–121 (2009)

    Article  Google Scholar 

  13. Samarin, A., Koltunova, T., Osinov, V., Shaposhnikov, D., Podladchikova, L.: Scanpaths of complex image viewing: insights from experimental and modeling studies. Perception 44(8–9), 1064–1076 (2015)

    Article  Google Scholar 

  14. Suteliffe, A., Namoune, A.: Investigating user attention and interest in websites. LNCS, vol. 4662, pp. 88–101 (2007)

    Google Scholar 

  15. Tatler, B.W., Wade, N.J., Kwan, H., Findlay, J.M., Velichkovsky, B.M.: Yarbus, eye movements, and vision. I-Perception 1(1), 7–27 (2010)

    Article  Google Scholar 

  16. Tatler, B.W., Hayhoe, M.M., Land, M.F., Ballard, D.H.: Eye guidance in natural vision: reinterpreting salience. J. Vis. 11(5:5), 1–23 (2011)

    Article  Google Scholar 

  17. Velichkovsky, B.M., Joos, M., Helmert, J.R., Pannasch, S.: Two visual systems and their eye movements: evidence from static and dynamic scene perception. In: Proceedings of the XXVII Conference of the Cognitive Science Society, pp. 2283–2288 (2005)

    Google Scholar 

  18. Wade, N.J.: Pioneers of eye movement research. I-Perception 1(1), 33–68 (2010)

    Article  Google Scholar 

  19. Walther, D.B., Koch, C.: Attention in hierarchical models of object recognition. Prog. Brain Res. 165, 57–78 (2007)

    Article  Google Scholar 

  20. Yarbus, A.L.: Eye Movements and Vision. Plenum Press, New York (1967)

    Book  Google Scholar 

Download references

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.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lubov Podladchikova .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Podladchikova, L., Samarin, A., Shaposhnikov, D., Petrushan, M. (2018). Modern Views on Visual Attention Mechanisms. In: Samsonovich, A., Klimov, V. (eds) Biologically Inspired Cognitive Architectures (BICA) for Young Scientists. BICA 2017. Advances in Intelligent Systems and Computing, vol 636. Springer, Cham. https://doi.org/10.1007/978-3-319-63940-6_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-63940-6_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63939-0

  • Online ISBN: 978-3-319-63940-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics