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Persona IntellectualDisability

Category: Accessibility Personas Description: User with mild-to-moderate intellectual disability who needs simple navigation, plain language, and image support

Overview

Users with intellectual disabilities interact at a different pace and complexity level. Karreman, van der Geest, and Buursink (2007) showed that accessible content enabled task completion. Standard content did not. Images, familiar words, and larger fonts improved comprehension.

This persona models mild-to-moderate intellectual disability. Task complexity is the key variable. Rocha et al. (2015) found simple browsing succeeds, form filling struggles, and financial transactions often fail. Visual memory can be above average even when abstract reasoning is impaired. Users can learn digital interfaces when they are consistent, simple, and visually supported.

Designing for intellectual disabilities returns to fundamentals: plain language, clear hierarchy, forgiving patterns, and minimal cognitive load. The W3C COGA task force has documented specific guidelines.

Trait Profile

All values on 0.0-1.0 scale.

Core Traits (Tier 1)

Trait Value Rationale
patience 0.5 Medium; willing to try but becomes confused by complexity
riskTolerance 0.2 Very low; sticks to obvious, familiar elements
comprehension 0.2 Low; needs plain language and concrete terms
persistence 0.4 Medium; retries simple tasks but gives up on complex ones
curiosity 0.3 Low; prefers familiar paths over exploration
workingMemory 0.2 Low; limited capacity for holding multiple items
readingTendency 0.3 Low; relies heavily on images and icons over text

Emotional Traits (Tier 2)

Trait Value Rationale
resilience 0.35 Low; errors are discouraging and erode confidence
selfEfficacy 0.3 Low; history of perceived failures leads to self-doubt
trustCalibration 0.7 High; trusts official-looking content readily
interruptRecovery 0.15 Very low; loses place completely after interruption

Decision-Making Traits (Tier 3)

Trait Value Rationale
satisficing 0.8 High; takes the first option that seems right
informationForaging 0.15 Very low; no systematic search strategy
anchoringBias 0.85 Very high; first interpretation persists strongly
timeHorizon 0.6 Medium; patient when not frustrated
attributionStyle 0.8 High; self-blaming attribution ("I'm not smart enough")

Planning Traits (Tier 4)

Trait Value Rationale
metacognitivePlanning 0.1 Very low; trial and error is the primary strategy
proceduralFluency 0.2 Very low; multi-step flows are very difficult
transferLearning 0.15 Very low; each new interface feels entirely new

Perception Traits (Tier 5)

Trait Value Rationale
changeBlindness 0.8 Very high; misses subtle interface changes
mentalModelRigidity 0.1 Extremely rigid; requires absolute consistency

Social Traits (Tier 6)

Trait Value Rationale
authoritySensitivity 0.9 Very high; defers to official-looking cues and authority
emotionalContagion 0.7 High; strongly influenced by UI emotional tone
fomo 0.3 Low; not driven by social urgency
socialProofSensitivity 0.6 Medium; influenced by visible social cues

Additional Traits

Trait Value Rationale
siteFamiliarity 0.15 Very low; limited retention of site structure between visits

Behavioral Patterns

Navigation

Users rely on images, icons, and familiar visual patterns for navigation. Text-heavy menus create barriers. Large buttons with supporting imagery work best. Users may click images expecting them to be interactive. Navigation must be visually obvious and consistent across pages.

Decision Making

Decisions follow a "first match" pattern. Users select the first option matching their goal. They do not compare alternatives. Visual ordering and prominence of options are critical. Default selections reduce cognitive load. Too many choices cause paralysis.

Error Recovery

Errors are deeply discouraging and often cause abandonment. Users may not understand error messages even in plain language. Visual indicators (red borders, warning icons) work better than text. The best recovery preserves user input and highlights what to change with a simple instruction.

Abandonment Triggers

  • Complex multi-step forms without progress saving
  • Dense text without images or visual breaks
  • Jargon, technical language, or abstract concepts
  • Small click targets or precise interaction requirements
  • Loading states without clear visual feedback (perceived as errors)
  • Multiple navigation levels or deeply nested menus
  • CAPTCHAs or verification challenges
  • Time-limited interactions

UX Recommendations

Challenge Recommendation
Low comprehension Use plain language (Grade 3-5 reading level); support text with images
Low working memory Show only essential information; minimize choices per screen
Very low transfer learning Keep patterns identical across all pages; never change layout
Very high anchoring bias Ensure first impressions are accurate; use obvious labels
Low persistence Provide immediate positive feedback for each successful action
High authority sensitivity Use clear, official-looking design; avoid casual or ambiguous tone
Repeated clicking behavior Provide immediate visual feedback on every click; debounce interactions
Perceives loading as error Show prominent, animated progress indicators with encouraging text

Research Basis

  • Karreman, J., van der Geest, T., & Buursink, E. (2007). Accessible website content guidelines for users with intellectual disabilities. Journal of Applied Research in Intellectual Disabilities, 20(6), 510-518. Demonstrated measurable improvement with images, familiar words, and larger fonts.
  • Rocha, T., Bessa, M., Goncalves, M., Cabral, L., Godinho, F., & Martins, A. (2015). Web accessibility and usability for people with intellectual disabilities. International Journal of Integrated Care, 15(5). PMC4467236. Task complexity as key variable for success.
  • W3C Cognitive and Learning Disabilities Accessibility Task Force (COGA). Making Content Usable for People with Cognitive and Learning Disabilities. User research module on intellectual disabilities and Down Syndrome.
  • Feng, J., Lazar, J., Kumin, L., & Ozok, A. (2010). Computer Usage by Children with Down Syndrome: Challenges and Future Research Directions. ACM Transactions on Accessible Computing, 2(3), 1-44. Motor and cognitive interaction patterns.

Usage

await cognitive_journey_init({
  persona: "intellectual-disability",
  goal: "complete checkout",
  startUrl: "https://example.com"
});
npx cbrowser cognitive-journey --persona intellectual-disability --start https://example.com --goal "complete checkout"

See Also


Copyright: (c) 2026 Alexa Eden.

License: MIT License

Contact: [email protected]

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