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The literature-review database. Every paper Bob has reviewed (he has read many more), with a short summary, key findings, and tags. Browse, filter, search.

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  • Screening Risk of Dyslexia Through a Web-Game Using Language-Independent Content and Machine Learning

    Maria Rauschenberger, Ricardo Baeza-Yates, Luz Rello · 2020 · Proceedings of the 17th International Web for All Conference (W4A)

    This paper presents MusVis, a web-based game designed to screen for dyslexia risk using language-independent content and machine learning, enabling potential early detection even in pre-readers who have not yet developed literacy skills. Dyslexia affects 5-15% of the world…

    dyslexia · machine learning · screening · serious games · gamification

  • Autism Detection Based on Eye Movement Sequences on the Web: A Scanpath Trend Analysis Approach

    Sukru Eraslan, Yeliz Yesilada, Victoria Yaneva, Simon Harper · 2020 · Proceedings of the 17th International Web for All Conference (W4A)

    This paper investigates whether sequential eye-movement data — the order in which people look at elements on web pages — can be used to detect autism, improving upon the authors' previous non-sequential approach that achieved 75% accuracy but was unstable across different web…

    autism · eye tracking · machine learning · web accessibility · scanpath analysis

2 results.