Third Eye: Assistance for Reading Disability

  • Y. Navya
  • S. SriDevi
  • P. Akhila
  • J. Amudha
  • C. JyotsnaEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1118)


Around 5–20% of students across the world have learning difficulties which occur due to several reasons. Dyslexia is the most common form of learning difficulty associated with difficulties in reading, writing, spelling and organization. Researchers show that the eye movements can reflect the difficulties faced by an individual while reading. Third eye uses eye gaze information from the eye tracker and analyzes it to extract features which can identify the reading skills of the subject and further broadly categorizes them based on their reading skills. An automated report is generated which depicts the areas of difficulty faced by the reader through various visualization techniques. A correlation study done between normal readers and dyslexic readers showcases significant differences in their eye movements in terms of fixation duration, fixation count and regressions. This platform can be used to identify the reading skills of the student which improves their self-confidence and motivates them toward further augmentation.


Dyslexia Eye tracking Fixations Regressions Saccades Scanpath Area of interest Visual attention span 



This study was partially funded by Karnataka State Council for Science and Technology (KSCST), 41st Series Student Project programme, 2017–18. An oral ethical agreement has been made with Samvidh Psych Center, Bengaluru and BRS Global School, Bengaluru, for the data collection. We would like to thank those institutes for their help in data collection for the project.


  1. 1.
    Hulme, C., Snowling, M.J.: Reading disorders and dyslexia. Curr. Opin. Pediatr. 28(6):731 (2016)Google Scholar
  2. 2.
    Luegi, P., Costa, A., Faria, I.: Using eye-tracking to detect reading difficulties. J. Eye Tracking Visual Cogn. Emot. (1) (2011)Google Scholar
  3. 3.
    Pavani, M.l., Koushik, M.S.S., Prakash, A.V.B., Amudha, J., Jyotsna, C.: Navigation through eye-tracking for human computer interface. In: 3rd International Conference on Information and Communication Technology for Intelligent System (2018)Google Scholar
  4. 4.
    Blachman, B.A.: Foundations of Reading Acquisition and Dyslexia: Implications for Early Intervention. Routledge (2013)Google Scholar
  5. 5.
    Venugopal, D., Amudha, J., Jyotsna, C.: Developing an application using eye tracker. In: IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (2016)Google Scholar
  6. 6.
    Geary, D.C., Hoard, M.K.: Numerical and arithmetical deficits in learning-disabled children: relation to dyscalculia and dyslexia. Aphasiology 15(7):635–647 (2001)Google Scholar
  7. 7.
    De Luca, M.: Reading words and pseudowords: an eye movement study of developmental dyslexia. Brain Lang. 80(3):617–626 (2002)Google Scholar
  8. 8.
    Rayner, K.: The role of eye movements in learning to read and reading disability. Remedial Spec. Educ. 6(6):53–60 (1985)Google Scholar
  9. 9.
    Elterman, R.D., Abel, L.A., Daroff, R.B., Dell’Osso, L.F., Bornstein, J.L.: Eye movement patterns in dyslexic children. J. Learn. Disabil. 13(1):16–21 (1980)Google Scholar
  10. 10.
    Biscaldi, M., Fischer, B., Aiple, F.: Saccadic eye movements of dyslexic and normal reading children. Perception 23(1):45–64 (1994)Google Scholar
  11. 11.
    Rello, L., Baeza-Yates, R.: How to present more readable text for people with dyslexia. Univ. Access Inf. Soc 16(1):29–49 (2017)Google Scholar
  12. 12.
    Pavlidis, G.T.: Eye movements in dyslexia: their diagnostic significance. J. Learn. Disabil. 18(1):42–50 (1985)Google Scholar
  13. 13.
    Prado, C., Dubois, M., Valdois, S.: The eye movements of dyslexic children during reading and visual search: impact of the visual attention span. Vis. Res. 47(19):2521–2530 (2007)Google Scholar
  14. 14.
    Thaler, V.: Different behavioral and eye movement patterns of dyslexic readers with and without attentional deficits during single word reading. Neuropsychologia 47(12):2436–2445 (2009)Google Scholar
  15. 15.
    Lobier, M., Valdois, S.: Visual attention deficits in developmental dyslexia cannot be ascribed solely to poor reading experience. Nat. Rev. Neurosci. 16(4):225 (2015)Google Scholar
  16. 16.
    Benfatto, M.N.: Screening for dyslexia using eye tracking during reading. PloS one 11(12):e0165508 (2016)Google Scholar
  17. 17.
    Jyotsna, C., Amudha, J.: Eye gaze as an indicator for stress level analysis in students. In: International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 1588–1593, IEEE (2018)Google Scholar
  18. 18.
    Rello, L., Ballesteros, M.: Detecting readers with dyslexia using machine learning with eye tracking measures. In: Proceedings of the 12th Web for All Conference. ACM (2015)Google Scholar
  19. 19.
    MacFarlane, A.: Visual analysis of dyslexia on search. In: Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval. ACM (2017)Google Scholar
  20. 20.
    Elbro, C., Borstrøm, I., Petersen, D.K.: Predicting dyslexia from kindergarten: the importance of distinctness of phonological representations of lexical items. Reading Res. Q. 33(1):36–60 (1998)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Y. Navya
    • 1
  • S. SriDevi
    • 1
  • P. Akhila
    • 1
  • J. Amudha
    • 1
  • C. Jyotsna
    • 1
    Email author
  1. 1.Department of Computer Science & EngineeringAmrita School of Engineering, Amrita Vishwa VidyapeethamBengaluruIndia

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