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• AI and Gamification for Employees with ADHD: A Tool for Enhancing Workplace Focus & Productivity

  Tahani Jaser Alahmadi, Ruyouf AlKhuzaim, Meral AlHelwah, Abbrar AlOtaibi, Dima AlTammami, Daad AlSaqer · 2025 · Proceedings of the 22nd International Web for All Conference (W4A)

  This paper presents WADAQ, an AI-driven gamification tool designed to support employees with ADHD in improving focus, task management, and workplace productivity. The system operates in three stages: first, machine learning classification models predict whether a user is likely…

  ADHD · gamification · machine learning · reinforcement learning · workplace accessibility

• Machine Learning for Accessible Web Navigation

  Tlamelo Makati · 2022 · Proceedings of the 19th International Web for All Conference (W4A)

  This extended abstract explores how machine learning techniques, particularly reinforcement learning, can be adapted to improve web navigation accessibility in alignment with WCAG Guideline 2.4 (Navigable). The author observes that ML techniques have already been applied to…

  machine learning · web accessibility · reinforcement learning · web navigation · query optimization

• Supporting the Design of Data Visualisation for the Visually Impaired through Reinforcement Learning

  Dalal Aljasem · 2020 · Proceedings of the 17th International Web for All Conference (W4A)

  This doctoral consortium paper presents a research programme aimed at making data visualizations more accessible to people with partial vision loss, specifically those with peripheral vision damage (tunnel vision from conditions like glaucoma) or central vision loss (from…

  data visualization · visual impairment · reinforcement learning · visual search · machine learning

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