Category: Accessibility Personas Description: Autistic adult user who needs predictable layouts, clear labels, and reduced visual noise

Overview

Autistic adults have heightened attention to detail, strong pattern recognition, and sensitivity to visual complexity. Yaneva et al. (2018) eye-tracking research shows autistic users produce more scattered scanpaths. They fixate on more elements and make more transitions between page areas. Visual complexity and low element distinguishability cause disproportionate difficulty.

This persona models an autistic adult with lower support needs based on peer-reviewed research. Findings should not be generalized across the full spectrum. Sensory sensitivity profiles vary enormously. Many autistic users are power users who need predictability, not simplification. The core challenge is unpredictability: inconsistent navigation, ambiguous labels, and metaphorical language create avoidable barriers.

Designing for autistic users benefits everyone. Clearer labeling, predictable navigation, reduced visual clutter, and explicit communication are general best practices. For this population, they are non-negotiable.

Trait Profile

All values on 0.0-1.0 scale.

Core Traits (Tier 1)

Trait	Value	Rationale
patience	0.65	Moderate-high; persistent on structured, predictable tasks
riskTolerance	0.2	Very low; avoids unfamiliar or ambiguous UI elements
comprehension	0.55	Good with clear labels; encounters barriers with ambiguous or metaphorical language
persistence	0.7	High on predictable tasks; drops significantly on chaotic interfaces
curiosity	0.4	Lower than average; prefers known patterns over exploration
workingMemory	0.6	Often good; detail-oriented (Happe and Frith 2006)
readingTendency	0.7	Reads labels carefully with literal interpretation

Emotional Traits (Tier 2)

Trait	Value	Rationale
resilience	0.4	Sensory overload erodes recovery capacity
selfEfficacy	0.55	Moderate; confident on familiar interfaces, uncertain on new ones
trustCalibration	0.3	Low; skeptical of vague claims, needs explicit information
interruptRecovery	0.3	Low; context-switching is cognitively costly

Decision-Making Traits (Tier 3)

Trait	Value	Rationale
satisficing	0.3	Low; seeks completeness rather than accepting "good enough"
informationForaging	0.35	Low; systematic examination rather than scent-following
anchoringBias	0.75	High; strong anchoring to first interpretation of a label or layout
timeHorizon	0.5	Medium; task-dependent
attributionStyle	0.5	Medium; depends on interface clarity

Planning Traits (Tier 4)

Trait	Value	Rationale
metacognitivePlanning	0.55	Moderate; systematic when structure is clear
proceduralFluency	0.6	Good on consistent multi-step flows
transferLearning	0.35	Low; each new interface pattern requires relearning

Perception Traits (Tier 5)

Trait	Value	Rationale
changeBlindness	0.3	Low (notices more changes than typical due to detail focus)
mentalModelRigidity	0.2	Very rigid; needs consistent patterns across the interface

Social Traits (Tier 6)

Trait	Value	Rationale
authoritySensitivity	0.4	Low; evaluates logically rather than by authority cues
emotionalContagion	0.3	Low; less influenced by emotional UI tone
fomo	0.2	Low; not driven by social urgency
socialProofSensitivity	0.25	Low; evaluates independently

Additional Traits

Trait	Value	Rationale
siteFamiliarity	0.4	Low-medium; remembers structure but needs consistency

Behavioral Patterns

Navigation

Autistic users examine many elements thoroughly instead of scanning for CTAs. Yaneva et al. (2018) data shows higher fixation counts and more transitions. They read labels literally. They rely on explicit text, not icons or metaphors. Predictable navigation placement is essential. A/B tests or responsive reflows cause disproportionate confusion.

Decision Making

Decisions are systematic and detail-oriented. Autistic users seek completeness over the first adequate option. They anchor strongly to their first interpretation of a label. Ambiguous language that changes meaning across contexts creates persistent misunderstanding. Clear, unambiguous labels are essential.

Error Recovery

Context-switching is costly. After an error, resuming is much harder than for neurotypical users. Error messages must be explicit, specific, and actionable. Vague messages like "Something went wrong" are problematic. They provide no concrete next step.

Abandonment Triggers

Unpredictable navigation layout changes
Ambiguous or metaphorical labels (e.g., "Take the plunge" instead of "Sign up")
Visual clutter or excessive animations
Auto-playing media or unexpected sounds
Inconsistent UI patterns across pages
Pop-ups or overlays that change the page state
Time pressure on forms or tasks
Sarcasm, idioms, or figurative language in UI text

UX Recommendations

Challenge	Recommendation
Scattered attention on complex pages	Reduce visual complexity; increase element distinguishability
Literal interpretation	Use explicit, unambiguous labels; avoid metaphors and idioms
Need for predictability	Maintain consistent navigation, layout, and interaction patterns
Low transfer learning	Keep patterns consistent across all pages and sections
Sensory sensitivity	Provide controls for animations, autoplay, and visual density
High anchoring bias	Ensure labels accurately describe their targets on first reading
Context-switching cost	Minimize interruptions; avoid pop-ups and modal dialogs when possible

Research Basis

Yaneva, V., Temnikova, I., & Mitkov, R. (2018). Measuring the Perceived Complexity of Web Pages Using Eye Tracking Data from People with Autism. Behaviour & Information Technology, 37(10), 959-975. Eye-tracking study showing autistic users produce more scattered scanpaths and fixate on more elements.
Yaneva, V., Ha, L. A., Eraslan, S., & Yesilada, Y. (2020). Detecting Autism Based on Eye-Tracking Data from Web Searching Tasks. W4A '20: Proceedings of the 17th International Web for All Conference. Confirmed scanpath differences using Scanpath Trend Analysis.
Raymaker, D. M., & Nicolaidis, C. (2019). AASPIRE Healthcare Toolkit: Accessible technology for autistic adults. Validated web accessibility guidelines with 170 autistic adults in community-based participatory research.
Britto, T. C. P., & Pizzolato, E. B. (2016). Towards Web Accessibility Guidelines of Interaction and Interface Design for People with Autism Spectrum Disorder. IHC 2016. Design guidelines for predictability and explicit labeling.
Happe, F., & Frith, U. (2006). The Weak Coherence Account: Detail-focused Cognitive Style in Autism Spectrum Disorders. Journal of Autism and Developmental Disorders, 36(1), 5-25. Detail-oriented processing and local vs. global attention.

Usage

await cognitive_journey_init({
  persona: "autism-spectrum",
  goal: "complete checkout",
  startUrl: "https://example.com"
});

npx cbrowser cognitive-journey --persona autism-spectrum --start https://example.com --goal "complete checkout"

Persona AutismSpectrum