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Accessibility Needs by Disability Type
Categorization, barriers, and solutions
#accessibility
#visual
#hearing
#physical
#neuro
#disability
#barriers
#category
#discovery
Summary
Research presents a structured analysis of secondary data focused on understanding the needs of users with disabilities in digital environments. Disabilities were categorized into six primary groups: visual, auditory, speech, physical/motor, cognitive/neurodivergent, and age-related impairments.
Each category contains its characteristics, common digital accessibility barriers, and user-centered design solutions.The focus is on situational and overlapping impairments, as well as demographic data to support prioritization.ň
Conducted in February 2023.
Key takeaways
- Disability types must be treated functionally, not medically
- Some disabilities are under-supported in design
- Neurodivergent users have the broadest range of needs
- Old age is a cross-functional accessibility category
- Assistive technologies are not enough without design support
- Situational impairments are real and frequent
Scope and goals
- Research investigates how different categories of disabilities translate into specific user needs, barriers, and design strategies
- Goal: Provide a framework that connects disability types with actionable design considerations
Methods
- Methodology: Analysis of secondary data using peer-reviewed articles, government statistics, and accessibility standards (e.g. WCAG)
- Additional focus: Situational impairments (e.g., temporary injuries, caregiving, aging), and overlapping disabilities
- Demographic data was collected where available to guide prioritization
Results
Disability Categories and Barriers
- Visual: Requires text alternatives, screen reader compatibility, adjustable contrast/fonts, reflowable layouts
- Auditory: Needs transcripts, captions, visual cues, and alternatives to voice-only interaction
- Speech: Barriers include phone-only support and voice-dependent systems; needs text-based communication
- Physical: Requires keyboard access, large touch targets, voice/eye tracking support, and minimal timed responses
- Cognitive/Neuro: Needs clear structure, predictable navigation, reduced visual clutter, and multimodal content
- Old Age: Overlaps with other categories; needs readability, simplified interaction, and CAPTCHA alternatives
Demographic Patterns (RBI region estimates)
- Auditory impairments: ~20% of population
- Visual impairments: ~16%
- Neuro/cognitive: ~15%
- Speech impairments: ~1%
- Physical and age-related impairments: widespread but harder to quantify due to overlap

Sources
- Wedasinghe, N.- Sirisoma, N.- Wicramarachchi, A.P.R.: Web, Mobile and Computer Accessibility. In: Conference: Computing for Professional Excellence through Collaboration. 2018.
- Oliveira, A.C. et all.: Accessibility of Brazilian Federal Agencies' Mobile Apps: Requirements, Conformance and Response to Complaints. In: Brazilian Journal of Information Systems. 2021.
- Kazi, M. et all: Mobile Communication & Accessibility for Blind Users. In: 17th Telecommunications forum TELFOR. 2009.
- Alajarmeh, N.: Non-visual access to mobile devices: A survey of touchscreen accessibility for users who are visually impaired. In: Displays Journal. 2021.
- Web Accessibility Initiative: Diverse Abilities and Barriers.
- Mapping opportunities for deafblind people across Europe. 2014.