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Can Eye Tracking Identify Prognostic Markers for Learning Disabilities? a Preliminary Study

Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 411)

Abstract

Eye tracking is a promising technology offering objective metrics quantifying visual attention in various application fields. The employment in people with specific learning disabilities (SLDs), who reportedly manifest long-term functional social, emotional, and behavioral difficulties, provided well understandings of their visual attention, detecting cognitive processing mechanisms regarding specific SLD patterns. This study focuses on investigating and reporting the potential of eye tracking technology to identify multifaceted prognostic markers for SLDs. 30 adults (M: 16, F: 14) aged 29.8 ± 13.35 years old were presented with audiovisual stimuli in ordered digital tasks targeted to take real time metrics on (i) emotions, (ii) body scheme perception, and (iii) digital reading out loud. All digital visual stimuli consisted of still images accompanied by audio instructions. Cluster analysis indicated the presence of a variation between groups according to metrics and tasks. Descriptive statistics, gaze heatmaps and cluster diagrams give insights of this study, indicating that reading fixations provide the potential of promising metrics in the current classification. The development of eye tracking digital innovative systems may prove to be a valuable tool for early identification of SLDs, employing learning mobile technology to (i) reduce screening and diagnostic costs and (ii) enhance clinician’s efficiency.

Keywords

  • Eye tracking
  • Prognostic markers
  • Specific learning disabilities

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Acknowledgements

We wish to thank the Region of Epirus for funding this project titled “Smart Computing Models, Sensors, and Early diagnostic speech and language deficiencies indicators in Child Communication”, with code ΗΠ1ΑΒ-28185, supported from European Regional Development Fund (ERDF).

We also thank all the participants for their valuable contribution in this study.

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Correspondence to Eugenia I. Toki .

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Toki, E.I. et al. (2022). Can Eye Tracking Identify Prognostic Markers for Learning Disabilities? a Preliminary Study. In: Auer, M.E., Tsiatsos, T. (eds) New Realities, Mobile Systems and Applications. IMCL 2021. Lecture Notes in Networks and Systems, vol 411. Springer, Cham. https://doi.org/10.1007/978-3-030-96296-8_94

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  • DOI: https://doi.org/10.1007/978-3-030-96296-8_94

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