Building A11y Digital Experiences for Neurodivergent Users
summary
Covers neuroscience-backed design moves: reduced motion increases retention (noted in case studies for autistic users), use of progressive disclosure to cut extraneous load, and AI-enabled personalization for contrast, font size, spacing and line-height (openDyslexic cited) with toggles for motion. Cites Microsoft Inclusive Design toolkit and the UK British Standards Institute neuroinclusive built environment standard as practical frameworks. Reports higher task completion and better retention from simplified navigation, redundant visual+icon cues, immediate feedback and shortcuts.
AI-written summary · about
chapters (15)
- 0:00Introduction and background
- 1:03Neurodiversity and cognitive accessibility
- 4:21Cognitive load and digital barriers
- 8:24Cognitive load theory in UX design
- 11:46Practical applications for neuro-inclusive design
- 23:36Neuroscience behind digital accessibility
- 25:04Q&A on UX research for neurodivergent users
- 27:19Bias of efficiency in accessibility
- 29:27Non-clinical sources on neurodivergence
- 32:52Advocating for reduced cognitive load in enterprise tools
- 37:20Balancing competing accessibility perspectives
- 39:57Neurodivergent employee resource groups
- 43:31Addressing cognitive load as a difference, not a deficit
- 45:56Balancing needs of ADHD and autistic users
- 50:26Closing remarks and Q&A wrap-up
related talks
16mCognitive A11y: Designing Neuroaccessible docs for Neurodivergent minds
49mUnderstanding the 'Why' Around Neurodivergent Inclusive Web Design
54mDesigning for Neurodiversity: The Dos, the Don’ts & the Definitely Nots
26mWords that welcome: content design with neurodiversity in mind
01h 08mAccommodating Neurodivergent Learners
19mDesigning for Neurodiversity
01h 00mAccessible UX: Design for the rest of us
46mExclusive design