Eye Movements and Autonomic Regulation of Cognitive Activity during Reading in Adolescence. Part I. Functional “Cost” of Cognitive Activity when Reading Text from the Screen in Adolescence

Cover Page

Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

Reading from the screen of an electronic device (ED) is a significant cognitive activity for adolescences, and its complexity affects visceral functions. We conducted an analysis of the heart rate variability (HRV) and eye movements (EM) in adolescents while they were reading complex text on an ED screen. The aim was to assess the functional state characteristics under these conditions and reveal the intensity (“cost”) associated with this activity The study involved 22 adolescences with an average age of 15 years (М = 15.46, SD = 0.44). Reading text from an ED screen in adolescents was associated with a high functional “cost,” characterized by a decrease in overall HRV, an increase in the tension index and heart rate. These changes indicate the functional tension of regulatory systems during cognitive activity. The study revealed varying levels of parafoveal processing involvement. For the majority of adolescents (86.4%), word-by-word reading and a low percentage of regressions (12.0%) were observed, suggesting developed average reading skill. However, a qualitative analysis of individual EM tracks indicated varying level of reading skill development among adolescents, possibly due to a limited vocabulary and a lack of understanding of syntax. Additionally, 40.9% of adolescents demonstrated poor text comprehension. Our results showed that reading remains a complex cognitive task for adolescents, despite the expectation that their reading skills should be well-developed and automated by this age. Individual analysis of HRV and EM in adolescents with varying levels of text comprehension during reading demonstrated different strategies of adaptive behavior and autonomic reactions when performing a complex cognitive task. The functional “cost” of information processing when reading text from the ED screen results from a combination of age-related and individual adaptation characteristics, language competence and the psycholinguistic complexity of the text.

Full Text

Restricted Access

About the authors

Yu. N. Komkova

Institute of Child Developmental

Author for correspondence.
Email: julie.komkova@gmail.com
Russian Federation, Moscow

M. M. Bezrukikh

Moscow State Pedagogical University

Email: julie.komkova@gmail.com
Russian Federation, Moscow

K. U. Babanova

Institute of Child Developmental; Moscow State University

Email: julie.komkova@gmail.com
Russian Federation, Moscow; Moscow

T. S. Ryabkova

Institute of Child Developmental; Moscow State University

Email: julie.komkova@gmail.com
Russian Federation, Moscow; Moscow

A. G. Ustsova

Institute of Child Developmental

Email: julie.komkova@gmail.com
Russian Federation, Moscow

References

  1. Farber D.A., Semenova L.K., Alferova V.V. et al. [Physiology of adolescent]. M.: Pedagogika, 1988. 208 p.
  2. Korcz A., Krzysztoszek J., Bronikowski M. et al. Associations between physical activity, screen time, sleep time and selected academic skills in 8/9-year-old children // BMC Public Health. 2023. V. 23. № 1. P. 1335.
  3. Bezrukikh M.M., Komkova Y.N., Ivanov V.V. Autonomic regulation of heart rate and distinctive features of oculomotor activity in eight- to nine-year-old boys and girls during the reading of texts of different complexities // Human Physiology. 2018. V. 44. № 4. P. 361.
  4. Thomas S.A., Lynch J.J., Friedmann E. et al. Blood pressure and heart rate changes in children when they read aloud in school // Public Health Rep. 1984. V. 99. № 1. P. 77.
  5. Marciano L., Camerini A.-L., Morese R. The Developing Brain in the Digital Era: A Scoping Review of Structural and Functional Correlates of Screen Time in Adolescence // Front. Psychol. 2021. V. 12. P. 671817.
  6. Dahlgren A., Sjöblom L., Eke H. et al. Screen time and physical activity in children and adolescents aged 10-15 years // PloS One. 2021. V. 16. № 7. P. e0254255.
  7. Kuchma V.R., Teksheva L.M., Vyatleva O.A., Kurganskij A.M. [Physiological and hygienic assessment of perception of the information from electronic device for reading (reader)] // Gig. Sanit. 2013. V. 92. № 1. P. 22.
  8. Bando S., Asano H., Nozawa A. Analysis of Physiological Effect of Reading Books by Paper and Electronic Medium // Electron. Commun. Japan. 2017. V. 100. № 5. P. 44.
  9. Justino J., Kolinsky R. Eye movements during reading in beginning and skilled readers: Impact of reading level or physiological maturation? // Acta Psychol. 2023. V. 236. P. 103927.
  10. Blinnikova I.V., Rabeson M.D., Izmalkova A.I. Eye movements and word recognition during visual semantic search: differences between expert and novice language learners // Psychology in Russia: State of the Art. 2019. V. 12. № 1. P. 129.
  11. Bezrukikh M.M., Adamovskaya O.N., Ivanov V.V., Filippova T.A. Visual perception and oculomotor activity during reading tasks of varying complexity in children aged 7–10 years // Human Physiology. 2019. V. 45. № 6. P. 596.
  12. Parker A.J., Slattery T.J., Kirkby J.A. Return-sweep saccades during reading in adults and children // Vision Res. 2019. V. 155. P. 35.
  13. Oslund E.L., Clemens N.H., Simmons D.C., Simmons L.E. The direct and indirect effects of word reading and vocabulary on adolescents’ reading comprehension: Comparing struggling and adequate comprehenders // Read. Writ. 2018. V. 31. P. 355.
  14. Nippold M.A. Reading Comprehension Deficits in Adolescents: Addressing Underlying Language Abilities // Lang. Speech Hear. Serv. Sch. 2017. V. 48. № 2. P. 125.
  15. [Regulation of behavior and cognitive activity in adolescence / Brain mechanisms] // Eds. Machinskaya R.I., Farber D.A. M.: MPSU Publ., 2023. 615 p.
  16. Baevskij R.M., Ivanov G.G., Chirejkin L.V. et al. [Analysis of heart rate variability using various electrocardiographic systems (part 1)] // J. Arrhythmol. 2002. № 24. P. 65.
  17. Malik M. Heart rate variability. Standards of Measurement, Physiological interpretation and clinical use // Circulation. 1996. V. 93. № 5. P. 1043.
  18. Bezrukikh M.M., Adamovskaya O.N., Ivanov V.V. Visual and oculomotor activity of first-grade school students during reading texts of varying complexity // Human Physiology. 2017. V. 43. № 2. P. 168.
  19. Slattery T.J., Parker A.J. Return sweeps in reading: Processing implications of undersweep-fixations // Psychon. Bull. Rev. 2019. V. 26. № 6. P. 1948.
  20. Bogolyubov L.N., Lazebnikova A.Yu., Lobanov I.A. et al. [Social Studies. Grade 9: studies. for general education]. M.: Prosveshhenie, 2021. 224 p.
  21. Ivanov V.V. [On the possibility of using linguistic characteristics of text complexity when studying eye movements while reading in adolescence] // Nov. Issled. 2013. № 1 (34). P. 42.
  22. Oborneva I.V. [Automation of text perception quality assesment] // The Academic Journal of MCU, Series: Computer Science and Informatization of Education. 2005. № 5. P. 86.
  23. Benjamini Y., Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing // J. R. Stat. Soc. Ser. B Methodol. 1995. V. 57. № 1. P. 289.
  24. Usui H., Nishida Y. The very low-frequency band of heart rate variability represents the slow recovery component after a mental stress task // PloS One. 2017. V. 12. № 8. P. e0182611.
  25. Flejshman A.N., Korablina T.V., Petrovskij S.A., Martynov I.D. [Complex structureand nonlinear behavior of very low frequency of heart rate variability: model of analysisand practical applications] // Izvestiya VUZ. Applied Nonlinear Dynamics. 2014. V. 22. № 1. P. 55.
  26. Ng J., Sundaram S., Kadish A.H., Goldberger J.J. Autonomic effects on the spectral analysis of heart rate variability after exercise // Am. J. Physiol. Heart Circ. Physiol. 2009. V. 297. № 4. P. H1421.
  27. Mizuno K., Tanaka M., Yamaguti K. et al. Mental fatigue caused by prolonged cognitive load associated with sympathetic hyperactivity // Behav. Brain Functions. 2011. V. 7. P. 17.
  28. Shaffer F., McCraty R., Zerr C.L. A healthy heart is not a metronome: An integrative review of the heart’s anatomy and heart rate variability // Front. Psychol. 2014. V. 5. P. 1040.
  29. Rayner K. Eye movements in reading and information processing: 20 years of research // Psychol. Bull. 1998. V. 124. № 3. P. 372.
  30. Rayner K. Visual attention in reading: Eye movements reflect cognitive processes // Mem. Cognit. 1977. V. 5. № 4. P. 443.
  31. Schotter E.R., Tran R., Rayner K. Don’t believe what you read (only once): Comprehension is supported by regressions during reading // Psychol. Sci. 2014. V. 25. № 6. P. 1218.
  32. Dimigen O., Kliegl R., Sommer W. Trans-saccadic parafoveal preview benefits in fluent reading: a study with fixation-related brain potentials // NeuroImage. 2012. V. 62. № 1. P. 381.
  33. Plummer P., Rayner K. Effects of parafoveal word length and orthographic features on initial fixation landing positions in reading // Attent. Percept. Psychophys. 2012. V. 74. № 5. P. 950.
  34. Veldre A., Andrews S. Parafoveal preview effects depend on both preview plausibility and target predictability // Q. J. Exp. Psychol. 2018. V. 71. № 1. P. 64.
  35. Parker A.J, Kirkby J.A, Slattery T.J. Undersweep fixations during reading in adults and children // J. Exp. Child. Psychol. 2020. V. 192. P. 104788.
  36. Weissman D.G., Mendes W.B. Correlation of sympathetic and parasympathetic nervous system activity during rest and acute stress tasks // Int. J. Psychophysiol. 2021. V. 162. P. 60.

Supplementary files

Supplementary Files
Action
1. JATS XML
2. Fig. 1. Design of the experimental study. Reading the test from the screen of an electronic device (EC) in adolescents aged 15 years.

Download (452KB)
3. Fig. 2. A fragment of the markup of the parameters of eye movements when reading text (an example of a reconstructed track of ocular activity).

Download (337KB)
4. Fig. 3. Changes in the spectral parameters of heart rate variability (HRV) during an experimental study in adolescents aged 15 years. On the abscissa axis — indicators, on the ordinate axis — values. The columns represent the study period: dark gray — rest, light gray - reading the text, black - answers to questions, white — recovery (rest 2). The upper and lower borders of each rectangle are the first and third quartiles (25th and 75th percentiles, respectively), the horizontal line inside is the median (50th percentile), the ends of the segments are the 10th and 90th percentiles, the points are individual values in the sample. * – p < 0.05, ** – p < 0.01, *** – p < 0.001. p-values are significant with FDR = 0.1 correction for multiple comparisons.

Download (283KB)
5. Fig. 4. Changes in temporal (A, B) indicators of heart rate variability (HRV) during an experimental study in adolescents aged 15 years. See Figure 3 for the designations.

Download (553KB)
6. Fig. 5. Fragments of the restored track in 15-year-olds with varying degrees of understanding of the text. A — low understanding (30.0%), B — high understanding (90.0%).

Download (434KB)

Copyright (c) 2024 Russian Academy of Sciences

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies