Original title: "It's Like Drinking from a Fire Hose": Understanding and Characterizing Video Learning Experiences for Individuals with ADHD
Hanxiu 'Hazel' Zhu, Weiyu Zhang, Ru Wang, Yuhang Zhao · September 2026
Online video lectures are popular, but their long runtimes, dense information, and still visuals make it tough for people with ADHD to stay focused. Researchers wanted to know what specific parts of these videos cause trouble and how viewers react. They ran a study where people watched video lecture clips while eye-tracking tools recorded where they looked. Afterward, participants reviewed their sessions and talked through their thoughts. The team found specific visual and audio design features that actively hurt learning. They also saw how participants tried to cope on their own, though these personal strategies had clear limits. Finally, the researchers identified behaviors that show when someone struggles, helping guide how future tools might automatically adjust lectures for viewers with ADHD.
Imagine trying to read a book while someone keeps changing the font size and brightness every few seconds. It’s not that you can’t read, but your brain has to constantly adjust, making it exhausting to follow the story. In this paper, researchers tracked where people with ADHD looked during video lectures and asked them about their struggles later, to find out which exact changes in the video caused the most trouble.
Online video lectures are a major part of learning today, but their design often ignores the needs of ADHD viewers. This study pinpoints exactly which visual and pacing features cause attention problems, and shows how to detect those struggles from eye movements. The findings could make video learning platforms adapt in real time to support sustained attention, benefiting millions of students and professionals.
The study uses a relatively small sample of 16 participants, and only examines curated video segments rather than full courses. Insights are based on self-report and eye-tracking, so other behavioral signals or settings may reveal different patterns. The design implications have not been implemented or tested in real adaptive systems, so their effectiveness remains unconfirmed.
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"It's Like Drinking from a Fire Hose": Understanding and Characterizing Video Learning Experiences for Individuals with ADHD — Hanxiu 'Hazel' Zhu, Weiyu Zhang, Ru Wang et al.
Abstract licence: CC0
Explanation generated by Synthesis from the abstract — it is not the original paper. This is a preprint, so it hasn't necessarily been peer reviewed.