Development of Eye-Tracking Based Techniques for Diagnosing Children's Cognitive Functions

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Abstract

The development of eye-movement-based diagnostic techniques is especially relevant for assessing cognitive function in children who are unable to provide a verbal or motor response due to their age or developmental disabilities. For these children, the use of objective methods for assessing cognitive function based on eye-tracking can be a useful diagnostic tool to complement traditional behavioural questionnaires and scales. In addition, such diagnostic techniques can be used to quickly screen for problems in the development of cognitive functions. In this article, we review researches on the development of such techniques. Studies show that eye-tracking-based techniques can assess attention, receptive speech, especially in young children, and provide screening assessments of intelligence in children with developmental delays. The data obtained using eye-tracking techniques generally significantly correlate with those obtained using traditional behavioural techniques, indicating that further development of such techniques is promising. The application of machine learning methods may help to create simpler and more effective screening techniques for assessing cognitive processes based on the analysis of eye movement data.

General Information

Keywords: video oculography, eye tracking, attention, cognitive functions, intelligence, development

Journal rubric: Neurosciences and Cognitive Studies

Article type: review article

DOI: https://doi.org/10.17759/jmfp.2024130203

Funding. The reported study was funded by Russian Science Foundation, project number 23-28-01668, https://rscf.ru/project/23-28-01668.

Received: 10.05.2024

Accepted:

For citation: Rebreikina A.B., Liaukovich K. M. Development of Eye-Tracking Based Techniques for Diagnosing Children's Cognitive Functions [Elektronnyi resurs]. Sovremennaia zarubezhnaia psikhologiia = Journal of Modern Foreign Psychology, 2024. Vol. 13, no. 2, pp. 33–43. DOI: 10.17759/jmfp.2024130203. (In Russ., аbstr. in Engl.)

References

  1. Valliappan N., Dai N., Steinberg E. et al. Accelerating eye movement research via accurate and affordable smartphone eye tracking. Nature communications, 2020. Vol. 11, article ID 4553. 12 p. DOI:10.1038/s41467-020-18360-5
  2. Goodwin A., Salomone S., Bolton P. et al. Attention training for infants at familial risk of ADHD (INTERSTAARS): study protocol for a randomised controlled trial. Trials, 2016. Vol. 17, article ID 608. 12 p. DOI:10.1186/s13063-016-1727-0
  3. Benitez V.L., Robison M.K. Pupillometry as a Window into Young Children’s Sustained Attention. Journal of Intelligence, 2022. Vol. 10, article ID 107. 16 p. DOI:10.3390/jintelligence10040107
  4. Kushnerenko E., Tomalski P., Ballieux H., Potton A., Birtles D., Frostick C., Moore D.G. Brain responses and looking behavior during audiovisual speech integration in infants predict auditory speech comprehension in the second year of life. Frontiers in psychology, 2013. Vol. 4, article ID 432. 8 p. DOI:10.3389/fpsyg.2013.00432
  5. Molina R., Redondo B., Vera J., García J.A., Muñoz-Hoyos A., Jiménez R. Children with Attention-deficit/Hyperactivity Disorder Show an Altered Eye Movement Pattern during Reading. Optometry and Vision Science, 2020. Vol. 97, no. 4, pp. 265—274. DOI:10.1097/OPX.0000000000001498
  6. Varela Casal P., Lorena Esposito F., Morata Martínez I. et al. Clinical Validation of Eye Vergence as an Objective Marker for Diagnosis of ADHD in Children. Journal of attention disorders, 2019. Vol. 23, no. 6, pp. 599—614. DOI:10.1177/1087054717749931
  7. Vargas-Cuentas N.I., Roman-Gonzalez A., Gilman R.H., Barrientos F., Ting J., Hidalgo D., Jensen K., Zimic M. Developing an eye-tracking algorithm as a potential tool for early diagnosis of autism spectrum disorder in children. PLoS One, 2017. Vol. 12, no. 11, article ID e0188826. 13 p. DOI:10.1371/journal.pone.0188826
  8. Yoo J.H., Kang C., Lim J.S. et al. Development of an innovative approach using portable eye tracking to assist ADHD screening: a machine learning study. Front Psychiatry, 2024. Vol. 1, article ID 1337595. 12 p. DOI:10.3389/fpsyt.2024.1337595
  9. Mahanama B., Jayawardana Y., Rengarajan S., Jayawardena G., Chukoskie L., Snider J., Jayarathna S. Eye Movement and Pupil Measures: A Review. Frontiers in Computer Science, 2022. Vol. 3, article ID 733531. 22 p. DOI:10.3389/fcomp.2021.733531
  10. Brady N.C., Anderson C.J., Hahn L.J., Obermeier S.M., Kapa L.L. Eye Tracking as a Measure of Receptive Vocabulary in Children with Autism Spectrum Disorders. Augmentative and Alternative Communication, 2014. Vol. 30, no. 2, pp. 147—159. DOI:10.3109/07434618.2014.904923
  11. De Jong M., Verhoeven M., Hooge I.T., van Baar A. Factor Structure of Attention Capacities Measured With Eye-Tracking Tasks in 18-Month-Old Toddlers. Journal of attention disorders, 2016. Vol. 20, no. 3, pp. 230—239. DOI:10.1177/1087054713516002
  12. Farris-Trimble A., McMurray B. Test—Retest Reliability of Eye Tracking in the Visual World Paradigm for the Study of Real-Time Spoken Word Recognition. Journal of Speech, Language, and Hearing Research, 2013. Vol. 56, no. 4, pp. 1328—1345. DOI:10.1044/1092-4388(2012/12-0145)
  13. Powell G., Wass S.V., Erichsen J.T., Leekam S.R. First evidence of the feasibility of gaze-contingent attention training for school children with autism. Autism, 2016. Vol. 20, no. 8, pp. 927—937. DOI:10.1177/1362361315617880
  14. Hauschild K.M., Pomales-Ramos A., Strauss M.S. Object label and category knowledge among toddlers at risk for autism spectrum disorder: An application of the visual array task. Infant Behavior and Development, 2022. Vol. 67, article ID 101705. 26 p. DOI:10.1016/j.infbeh.2022.101705
  15. Hauschild K.M., Pomales‐Ramos A., Strauss M.S. The visual array task: A novel gaze‐based measure of object label and category knowledge. Development Science, 2021. Vol. 24, no. 2, article ID e13015. 13 p. DOI:10.1111/desc.13015
  16. Hessels R.S., Hooge I.T.C. Eye tracking in developmental cognitive neuroscience — The good, the bad and the ugly. Developmental cognitive neuroscience, 2019. Vol. 40, article ID 100710. 11 p. DOI:10.1016/j.dcn.2019.100710
  17. Houston-Price C., Mather E., Sakkalou E. Discrepancy between parental reports of infants’ receptive vocabulary and infants’ behaviour in a preferential looking task. Journal of child language, 2007. Vol. 34, no. 4, pp. 701—724. DOI:10.1017/S0305000907008124
  18. Shalileh S., Ignatov D., Lopukhina A., Dragoy O. Identifying dyslexia in school pupils from eye movement and demographic data using artificial intelligence. PLoS One, 2023. Vol. 18, no. 11, article ID e0292047. 26 p. DOI:10.1371/journal.pone.0292047
  19. De Jong M., Verhoeven M., Hooge I.T., van Baar A.L. Introduction of the Utrecht Tasks for Attention in Toddlers Using Eye Tracking (UTATE): A Pilot Study. Frontiers in psychology, 2016. Vol. 7, article ID 187694. 9 p. DOI:10.3389/fpsyg.2016.00669
  20. Jones D.T., Graff-Radford J. Executive Dysfunction and the Prefrontal Cortex. CONTINUUM: Lifelong Learning in Neurology, 2021. Vol. 27, no. 6, pp. 1586—1601. DOI:10.1212/CON.0000000000001009
  21. Key A.P., Venker C.E., Sandbank M.P. Psychophysiological and Eye-Tracking Markers of Speech and Language Processing in Neurodevelopmental Disorders: New Options for Difficult-to-Test Populations. American journal on intellectual and developmental disabilities, 2020. Vol. 125, no. 6, pp. 465—474. DOI:10.1352/1944-7558-125.6.465
  22. Manley C.E., Bennett C.R., Merabet L.B. Assessing Higher-Order Visual Processing in Cerebral Visual Impairment Using Naturalistic Virtual-Reality-Based Visual Search Tasks. Children, 2022. Vol. 9 (8), article ID 1114. 17 p. DOI:10.3390/children9081114
  23. Mullen E.M. Mullen Scales of Early Learning Manual. Circle Pines: American Guidance Services Inc. 1995. 85 p.
  24. Xu H., Xuan X., Zhang L., Zhang W., Zhu M., Zhao X. New Approach to Intelligence Screening for Children With Global Development Delay Using Eye-Tracking Technology: A Pilot Study. Frontiers in Neurology, 2021. Vol. 12, article ID 723526. 6 p. DOI:10.3389/fneur.2021.723526
  25. Posner M., Petersen S. The Attention System Of The Human Brain. Annual Review Neuroscience, 1990. Vol. 13, pp. 25—42. DOI:10.1146/annurev.ne.13.030190.000325
  26. Frazier T.W., Hauschild K.M., Klingemier E., Strauss M.S., Hardan A.Y., Youngstrom E.A. Rapid Eye-Tracking Evaluation of Language in Children and Adolescents Referred for Assessment of Neurodevelopmental Disorders. Journal of Intellectual & Developmental Disability, 2020. Vol. 45, no. 3, pp. 222—235. DOI:10.3109/13668250.2019.1698287
  27. Rayner K. Eye movements in reading and information processing: 20 years of research. Psychological bulletin, 1998. Vol. 124, no. 3, pp. 372—422. DOI:10.1037/0033-2909.124.3.372
  28. Van Baar A.L., de Jong M., Maat M., Hooge I.T.C., Bogičević L., Verhoeven M. Reliability and Validity of the Utrecht Tasks for Attention in Toddlers Using Eye Tracking (UTATE). Frontiers in psychology, 2020. Vol. 11, article ID 1179. 12 p. DOI:10.3389/fpsyg.2020.01179
  29. Skaramagkas V., Giannakakis G., Ktistakis E. et al. Review of Eye Tracking Metrics Involved in Emotional and Cognitive Processes. IEEE reviews in biomedical engineering, 2023. Vol. 16, pp. 260—277. DOI:10.1109/RBME.2021.3066072
  30. Golinkoff R.M., Hirsh-Pasek K., Cauley K.M., Gordon L. The eyes have it: lexical and syntactic comprehension in a new paradigm. Journal of child language, 1987. Vol. 14, no. 1, pp. 23—45. DOI:10.1017/S030500090001271X
  31. Reichle E.D., Pollatsek A., Fisher D.L., Rayner K. Toward a model of eye movement control in reading. Psychological review, 1998. Vol. 105, no. 1, pp. 125—157. DOI:10.1037/0033-295X.105.1.125
  32. Perra O., Wass S., McNulty A., Sweet D., Papageorgiou K.A., Johnston M., Bilello D., Patterson A., Alderdice F. Very preterm infants engage in an intervention to train their control of attention: results from the feasibility study of the Attention Control Training (ACT) randomised trial. Pilot Feasibility Studies, 2021. Vol. 7, article ID 66. 23 p. DOI:10.1186/s40814-021-00809-z
  33. Viglione A., Mazziotti R., Pizzorusso T. From pupil to the brain: New insights for studying cortical plasticity through pupillometry. Front Neural Circuits, 2023. Vol. 17, article ID 1151847. 11 p. DOI:10.3389/fncir.2023.1151847
  34. Aring E., Grönlund M.A., Hellström A., Ygge J. Visual fixation development in children. Graefe’s Archive for Clinical and Experimental Ophthalmology, 2007. Vol. 245, pp. 1659—1665. DOI:10.1007/s00417-007-0585-6
  35. Kaul Y.F., Rosander K., von Hofsten C., Strand Brodd K., Holmström G., Hellström-Westas L. Visual tracking at 4 months in preterm infants predicts 6.5-year cognition and attention. Pediatric Research, 2022. Vol. 92, pp. 1082—1089. DOI:10.1038/s41390-021-01895-8
  36. Yoo K., Ahn J., Lee S.-H. The confounding effects of eye blinking on pupillometry, and their remedy. PLoS One, 2021. Vol. 16, no. 12, article ID e0261463. 32 p. DOI:10.1371/journal.pone.0261463
  37. Zivan M., Horowitz-Kraus T. Parent—child joint reading is related to an increased fixation time on print during storytelling among preschool children. Brain and Cognition, 2020. Vol. 143, article ID 105596. 8 p. DOI:10.1016/j.bandc.2020.105596

Information About the Authors

Anna B. Rebreikina, PhD in Biology, Researcher, Laboratory of Human Higher Nervous Activity, Institute of Higher Nervous Activity and Neurophysiology of RAS, Researcher, Laboratory of Human Higher Nervous Activity, Institute of Higher Nervous Activity and Neurophysiology of RAS, Moscow, Russia, ORCID: https://orcid.org/0000-0001-5714-2040, e-mail: anna.rebreikina@gmail.com

Krystsina . Liaukovich, PhD in Biology, Researcher, Laboratory of Human Higher Nervous Activity, Institute of Higher Nervous Activity and Neurophysiology of RAS,, Moscow, Russia, ORCID: https://orcid.org/0000-0002-1016-2703, e-mail: kliaukovich@ihna.ru

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