Search for Quantitative Parameters of Scan Path of Image Viewing by Biologically Motivated Model

Shaposhnikov Dmitry; Podladchikova Lubov; Lazurenko Dmitry; Kiroy Valery

doi:doi:10.11648/j.aap.20210601.12

| Peer-Reviewed

Search for Quantitative Parameters of Scan Path of Image Viewing by Biologically Motivated Model

Shaposhnikov Dmitry, Podladchikova Lubov, Lazurenko Dmitry, Kiroy Valery

Published in Advances in Applied Physiology (Volume 6, Issue 1)

Received: 25 March 2021 Accepted: 19 April 2021 Published: 8 May 2021

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

The model of viewing scan path formation to search for quantitative parameters of scan path type is presented. In computer simulations, it was revealed that the structure of artificial scan path (focal or spatial ones) significantly (p<0,05) correlates with the number of return fixations of input window on recently viewed image areas. It was revealed that with the decrease of the coefficient of IOR, the model in most cases forms trajectories of focal type. On the contrary, as the coefficient of the IOR increases, model spatial type trajectories dominated. In addition to differences in the number of return fixations of the input window of the model between focal and spatial trajectories, a trend of differences between the two types of model trajectories in the amplitude of window jumps was found. The model assumption about the possibility of a quantitative characteristic of the trajectory structure based on return fixations is confirmed at processing the results of psychophysical tests of free viewing and search for modified fragments of complex images. It was shown that the number of gaze return fixations is significantly (p<0,05) higher in tests of free image viewing compared to search tests. The results obtained allow us to consider the probability of return fixations as a quantitative criterion to determine of scan path type.

Published in	Advances in Applied Physiology (Volume 6, Issue 1)
DOI	10.11648/j.aap.20210601.12
Page(s)	9-13
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Inhibition and Facilitation of Return, Model of Scan Path, Complex Images, Return Fixations of Input Window

References

[1]	Bao, Y., & Pöppel, E. (2007). Two Spatially Separated Attention Systems in the Visual Field: Evidence from Inhibition of Return. Cognitive Processing, 8 (1), 37-44. https://doi.org/10.1007/s10339-006-0151-x.
[2]	Baveye, Y., Dellandrea, E., Chamaret, C., & Chen, L. (2015). LIRIS-ACCEDE: A Video Database for Affective Content Analysis. IEEE Transactions on Affective Computing, 6 (1), 43-55. https://doi.org/10.1109/TAFFC.2015.2396531.
[3]	Casagrande, M., Barbato, M., Mereu, S., Martella, D., Marotta, A., Theeuwes, J., & Collinson, S. L. (2012). Inhibition of Return: A “Depth-Blind” Mechanism? Acta psychologica, 140 (1), 75-80. https://doi.org/10.1016/j.actpsy.2012.02.011.
[4]	Dodd, M. D., Van der Stigchel, S., & Hollingworth, A. (2009). Novelty is not Always the Best Policy: Inhibition of Return and Facilitation of Return as a Function of Visual Task. Psychological Science, 20 (3), 333-339. https://doi.org/10.1111/j.1467-9280.2009.02294.x.
[5]	Grierson, L. E., Welsh, T. N., Hansen, S., Hodges, N. J., Hayes, S., Lyons, J., & Elliott, D. (2008). The Response Activation Model and Cross-Modal Facilitation and Inhibition of Return: A Trajectory Analysis. The Open Psychology Journal, 1 (1), 35-41. https://doi.org/10.2174/1874350100801010035.
[6]	Hooge, I. T. C., Over, E. A., van Wezel, R. J., & Frens, M. A. (2005). Inhibition of Return is not a Foraging Facilitator in Saccadic Search and Free Viewing. Vision research, 45 (14), 1901-1908. https://doi.org/10.1016/j.visres.2005.01.030.
[7]	Lim, A., Eng, V., Osborne, C., Janssen, S. M., & Satel, J. (2019). Inhibitory and Facilitatory Cueing Effects: Competition between Exogenous and Endogenous Mechanisms. Vision, 3 (3), 40. https://doi.org/10.3390/vision3030040.
[8]	Luke, S. G., Schmidt, J., & Henderson, J. M. (2013). Temporal Oculomotor Inhibition of Return and Spatial Facilitation of Return in a Visual Encoding Task. Frontiers in psychology, 4, 400. https://doi.org/10.3389/fpsyg.2013.00400.
[9]	Lupiáñez, J., Klein, R. M., & Bartolomeo, P. (2006). Inhibition of Return: Twenty Years After. Cognitive neuropsychology, 23 (7), 1003-1014. https://doi.org/10.1080/02643290600588095.
[10]	Martín-Arévalo, E., Chica, A. B., & Lupiáñez, J. (2016). No Single Electrophysiological Marker for Facilitation and Inhibition of Return: A Review. Behavioural brain research, 300, 1-10. https://doi.org/10.1016/j.bbr.2015.11.030.
[11]	Podladchikova, L., Samarin, A., Shaposhnikov, D., & Petrushan M. (2018) Modern Views on Visual Attention Mechanisms. Advances in intelligent systems and computing, 636, 139-144. https://doi.org/10.1007/978-3-319-63940-6_19.
[12]	Podladchikova, L. N., Shaposhnikov, D. G., & Koltunova, T. I. (2018) Spatial and Temporal Properties of Gaze Return Fixations while Viewing Affective Images. Russian Journal of Physiology, 104 (2), 245-254 (in Russian). https://rusjphysiol.org/index.php/rusjphysiol/article/view/242/44.
[13]	Podladchikova, L. N., Shaposhnikov, D. G., Tikidgji-Hamburyan, A. V., Koltunova, T. I., Tikidgji-Hamburyan, R. A., Gusakova, V. I., & Golovan, A. V. (2009). Model-based Approach to Study of Mechanisms of Complex Image Viewing. Optical Memory and Neural Networks, 18 (2), 114-121. https://doi.org/10.3103/S1060992X09020088.
[14]	Posner, M. I., Rafal, R. D., Choate, L. S., & Vaughan, J. (1985). Inhibition of Return: Neural Basis and Function. Cognitive neuropsychology, 2 (3), 211-228. https://doi.org/10.1080/02643298508252866.
[15]	Pratt, J., & Castel, A. D. (2001). Responding to Feature or Location: A Re-Examination of Inhibition of Return and Facilitation of Return. Vision Research, 41 (28), 3903-3908. https://doi.org/10.1016/S0042-6989(01)00238-3.
[16]	Privitera, C. M., & Stark, L. W. (2005). Scanpath Theory, Attention, and Image Processing Algorithms for Predicting Human Eye Fixations. In Neurobiology of Attention (pp. 296-299). Academic Press. https://doi.org/10.1016/B978-012375731-9/50052-5.
[17]	Samarin, A., Koltunova, T., Osinov, V., Shaposhnikov, D., & Podladchikova, L. (2015). Scanpaths of Complex Image Viewing: Insights from Experimental and Modeling Studies. Perception, 44 (8-9), 1064-1076. https://doi.org/10.1177/0301006615596872.
[18]	Samarin, A. I., Podladchikova, L. N., Petrushan, M. V., & Shaposhnikov, D. G. (2019). Active Vision: from Theory to Application. Optical Memory and Neural Networks, 28 (3), 185-191. https://doi.org/10.3103/S1060992X19030068.
[19]	Schilbach, L., Timmermans, B., Reddy, V., Costall, A., Bente, G., Schlicht, T., & Vogeley, K. (2013). Toward a Second-Person Neuroscience. Behavioral and brain sciences, 36 (4), 393-414. https://doi.org/10.1017/S0140525X12000660.
[20]	Satel, J., Wilson, N. R., & Klein, R. M. (2019). What Neuroscientific Studies Tell Us About Inhibition of Return? Vision, 3 (4), 58. https://doi.org/10.3390/vision3040058.
[21]	Yarbus, A. L. (2013). Eye Movements and Vision. Springer. https://doi.org/10.1007/978-1-4899-5379-7.

Cite This Article

Plain Text BibTeX RIS

APA Style

Shaposhnikov Dmitry, Podladchikova Lubov, Lazurenko Dmitry, Kiroy Valery. (2021). Search for Quantitative Parameters of Scan Path of Image Viewing by Biologically Motivated Model. Advances in Applied Physiology, 6(1), 9-13. https://doi.org/10.11648/j.aap.20210601.12

Copy | Download

ACS Style

Shaposhnikov Dmitry; Podladchikova Lubov; Lazurenko Dmitry; Kiroy Valery. Search for Quantitative Parameters of Scan Path of Image Viewing by Biologically Motivated Model. Adv. Appl. Physiol. 2021, 6(1), 9-13. doi: 10.11648/j.aap.20210601.12

Copy | Download

AMA Style

Shaposhnikov Dmitry, Podladchikova Lubov, Lazurenko Dmitry, Kiroy Valery. Search for Quantitative Parameters of Scan Path of Image Viewing by Biologically Motivated Model. Adv Appl Physiol. 2021;6(1):9-13. doi: 10.11648/j.aap.20210601.12

Copy | Download

@article{10.11648/j.aap.20210601.12,
  author = {Shaposhnikov Dmitry and Podladchikova Lubov and Lazurenko Dmitry and Kiroy Valery},
  title = {Search for Quantitative Parameters of Scan Path of Image Viewing by Biologically Motivated Model},
  journal = {Advances in Applied Physiology},
  volume = {6},
  number = {1},
  pages = {9-13},
  doi = {10.11648/j.aap.20210601.12},
  url = {https://doi.org/10.11648/j.aap.20210601.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aap.20210601.12},
  abstract = {The model of viewing scan path formation to search for quantitative parameters of scan path type is presented. In computer simulations, it was revealed that the structure of artificial scan path (focal or spatial ones) significantly (p<0,05) correlates with the number of return fixations of input window on recently viewed image areas. It was revealed that with the decrease of the coefficient of IOR, the model in most cases forms trajectories of focal type. On the contrary, as the coefficient of the IOR increases, model spatial type trajectories dominated. In addition to differences in the number of return fixations of the input window of the model between focal and spatial trajectories, a trend of differences between the two types of model trajectories in the amplitude of window jumps was found. The model assumption about the possibility of a quantitative characteristic of the trajectory structure based on return fixations is confirmed at processing the results of psychophysical tests of free viewing and search for modified fragments of complex images. It was shown that the number of gaze return fixations is significantly (p<0,05) higher in tests of free image viewing compared to search tests. The results obtained allow us to consider the probability of return fixations as a quantitative criterion to determine of scan path type.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Search for Quantitative Parameters of Scan Path of Image Viewing by Biologically Motivated Model
AU  - Shaposhnikov Dmitry
AU  - Podladchikova Lubov
AU  - Lazurenko Dmitry
AU  - Kiroy Valery
Y1  - 2021/05/08
PY  - 2021
N1  - https://doi.org/10.11648/j.aap.20210601.12
DO  - 10.11648/j.aap.20210601.12
T2  - Advances in Applied Physiology
JF  - Advances in Applied Physiology
JO  - Advances in Applied Physiology
SP  - 9
EP  - 13
PB  - Science Publishing Group
SN  - 2471-9714
UR  - https://doi.org/10.11648/j.aap.20210601.12
AB  - The model of viewing scan path formation to search for quantitative parameters of scan path type is presented. In computer simulations, it was revealed that the structure of artificial scan path (focal or spatial ones) significantly (p<0,05) correlates with the number of return fixations of input window on recently viewed image areas. It was revealed that with the decrease of the coefficient of IOR, the model in most cases forms trajectories of focal type. On the contrary, as the coefficient of the IOR increases, model spatial type trajectories dominated. In addition to differences in the number of return fixations of the input window of the model between focal and spatial trajectories, a trend of differences between the two types of model trajectories in the amplitude of window jumps was found. The model assumption about the possibility of a quantitative characteristic of the trajectory structure based on return fixations is confirmed at processing the results of psychophysical tests of free viewing and search for modified fragments of complex images. It was shown that the number of gaze return fixations is significantly (p<0,05) higher in tests of free image viewing compared to search tests. The results obtained allow us to consider the probability of return fixations as a quantitative criterion to determine of scan path type.
VL  - 6
IS  - 1
ER  -

Copy | Download

Author Information

Shaposhnikov Dmitry

Research Center of Neurotechnology, Southern Federal University, Rostov-on-Don, Russia
Podladchikova Lubov

Research Center of Neurotechnology, Southern Federal University, Rostov-on-Don, Russia
Lazurenko Dmitry

Research Center of Neurotechnology, Southern Federal University, Rostov-on-Don, Russia
Kiroy Valery

Research Center of Neurotechnology, Southern Federal University, Rostov-on-Don, Russia

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Shaposhnikov Dmitry, Podladchikova Lubov, Lazurenko Dmitry, Kiroy Valery. (2021). Search for Quantitative Parameters of Scan Path of Image Viewing by Biologically Motivated Model. Advances in Applied Physiology, 6(1), 9-13. https://doi.org/10.11648/j.aap.20210601.12

Copy | Download

ACS Style

Shaposhnikov Dmitry; Podladchikova Lubov; Lazurenko Dmitry; Kiroy Valery. Search for Quantitative Parameters of Scan Path of Image Viewing by Biologically Motivated Model. Adv. Appl. Physiol. 2021, 6(1), 9-13. doi: 10.11648/j.aap.20210601.12

Copy | Download

AMA Style

Shaposhnikov Dmitry, Podladchikova Lubov, Lazurenko Dmitry, Kiroy Valery. Search for Quantitative Parameters of Scan Path of Image Viewing by Biologically Motivated Model. Adv Appl Physiol. 2021;6(1):9-13. doi: 10.11648/j.aap.20210601.12

Copy | Download

@article{10.11648/j.aap.20210601.12,
  author = {Shaposhnikov Dmitry and Podladchikova Lubov and Lazurenko Dmitry and Kiroy Valery},
  title = {Search for Quantitative Parameters of Scan Path of Image Viewing by Biologically Motivated Model},
  journal = {Advances in Applied Physiology},
  volume = {6},
  number = {1},
  pages = {9-13},
  doi = {10.11648/j.aap.20210601.12},
  url = {https://doi.org/10.11648/j.aap.20210601.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aap.20210601.12},
  abstract = {The model of viewing scan path formation to search for quantitative parameters of scan path type is presented. In computer simulations, it was revealed that the structure of artificial scan path (focal or spatial ones) significantly (p<0,05) correlates with the number of return fixations of input window on recently viewed image areas. It was revealed that with the decrease of the coefficient of IOR, the model in most cases forms trajectories of focal type. On the contrary, as the coefficient of the IOR increases, model spatial type trajectories dominated. In addition to differences in the number of return fixations of the input window of the model between focal and spatial trajectories, a trend of differences between the two types of model trajectories in the amplitude of window jumps was found. The model assumption about the possibility of a quantitative characteristic of the trajectory structure based on return fixations is confirmed at processing the results of psychophysical tests of free viewing and search for modified fragments of complex images. It was shown that the number of gaze return fixations is significantly (p<0,05) higher in tests of free image viewing compared to search tests. The results obtained allow us to consider the probability of return fixations as a quantitative criterion to determine of scan path type.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Search for Quantitative Parameters of Scan Path of Image Viewing by Biologically Motivated Model
AU  - Shaposhnikov Dmitry
AU  - Podladchikova Lubov
AU  - Lazurenko Dmitry
AU  - Kiroy Valery
Y1  - 2021/05/08
PY  - 2021
N1  - https://doi.org/10.11648/j.aap.20210601.12
DO  - 10.11648/j.aap.20210601.12
T2  - Advances in Applied Physiology
JF  - Advances in Applied Physiology
JO  - Advances in Applied Physiology
SP  - 9
EP  - 13
PB  - Science Publishing Group
SN  - 2471-9714
UR  - https://doi.org/10.11648/j.aap.20210601.12
AB  - The model of viewing scan path formation to search for quantitative parameters of scan path type is presented. In computer simulations, it was revealed that the structure of artificial scan path (focal or spatial ones) significantly (p<0,05) correlates with the number of return fixations of input window on recently viewed image areas. It was revealed that with the decrease of the coefficient of IOR, the model in most cases forms trajectories of focal type. On the contrary, as the coefficient of the IOR increases, model spatial type trajectories dominated. In addition to differences in the number of return fixations of the input window of the model between focal and spatial trajectories, a trend of differences between the two types of model trajectories in the amplitude of window jumps was found. The model assumption about the possibility of a quantitative characteristic of the trajectory structure based on return fixations is confirmed at processing the results of psychophysical tests of free viewing and search for modified fragments of complex images. It was shown that the number of gaze return fixations is significantly (p<0,05) higher in tests of free image viewing compared to search tests. The results obtained allow us to consider the probability of return fixations as a quantitative criterion to determine of scan path type.
VL  - 6
IS  - 1
ER  -

Copy | Download