Machine Learning and Eye Movements: Insights into Learning and Autism Spectrum Disorders
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 20 October 2025 | Viewed by 36
Special Issue Editors
Interests: eye movements; dyslexia; strabismus; tinnitus; vestibular deficits; cognitive impairment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Eye movements play a crucial role in pediatric neurodevelopment, particularly in conditions such as dyslexia and attention deficit disorders. In dyslexia, deficits in saccadic and vergence eye movements can disrupt reading fluency, often leading to frustration and learning delays. Similarly, children with attention deficit disorders or autism spectrum disorders (ASDs) may experience difficulties with visual tracking, fixation, and sustained gaze, impairing their ability to concentrate and efficiently process visual information. Understanding, evaluating, and supporting the development of eye movements can offer valuable insights for early diagnosis and targeted interventions. This Special Issue aims to bridge the fields of eye movement neuroscience and artificial intelligence by bringing together researchers dedicated to understanding and addressing learning disorders—including ASDs—through the lens of oculomotor function. We welcome contributions on a broad range of topics, including the following: AI models and algorithms for detecting and interpreting oculomotor patterns in learning disorders and ASD; clinical applications of eye tracking for diagnosis and intervention; and cognitive neuroscience insights into eye movement dysfunction. We invite submissions that foster dialogue across disciplines and open new avenues for understanding and supporting individuals with learning and neurodevelopmental challenges through cutting-edge research in eye movement science and artificial intelligence.
Dr. Zoi Kapoula
Guest Editor
Dr. Alae Eddine El Hmimdi
Guest Editor Assistant
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Keywords
- eye movements
- dyslexia
- attention deficit disorders (ADDs)
- autism spectrum disorders (ASDs)
- learning disorders
- artificial intelligence (AI)
- eye tracking technology
- AI for early screening
- explainable AI (XAI)
- anomaly detection
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