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Adults with High-functioning Autism Process Web Pages With Similar Accuracy but Higher Cognitive Effort Compared to Controls

Victoria Yaneva, Le An Ha, Sukru Eraslan, Yeliz Yesilada · 2019 · Proceedings of the 16th International Web for All Conference (W4A) · doi:10.1145/3315002.3317563

Summary

This paper investigates the accuracy and efficiency with which adults with high-functioning autism process web pages compared to neurotypical controls, using eye-tracking to reveal hidden cognitive effort differences. The study addresses a critical gap: existing web accessibility guidelines for autism are not based on empirical evidence (a review of guidelines from nine countries found none were empirically grounded), and high-functioning autistic web users are often assumed not to face barriers because they can complete tasks successfully. The study recruited 19 adults with formal autism diagnoses and 19 neurotypical controls (screened with the Autism Quotient test to exclude those with high autistic traits). All participants were highly independent — employed, in higher education, or living independently. Eight web pages were selected from the top 100 Alexa-ranked websites, balanced across high/low visual complexity (measured by the VICRAM algorithm) and large/small white space ratio between elements. For each page, participants answered two inferential questions requiring examination of at least two visual elements and synthesis of information not explicitly stated. Questions were read aloud and answered verbally to minimize confounding factors from mouse/keyboard use. Eye movements were recorded using a Gazepoint GP3 eye tracker at 60Hz.

Key findings

Answer accuracy was equivalent between groups (91% for ASD, 93% for controls, p = 0.397), but the ASD group took significantly longer to complete tasks (mean 30.4 seconds vs 23.5 seconds, p < 0.0001). Eye-tracking analysis revealed the mechanism behind this efficiency gap: the ASD group had significantly more total fixations (mean 84.9 vs 66.4, p = 0.004) and significantly more transitions between page elements (mean 41.8 vs 35.4, p = 0.013), but no difference in mean fixation duration (329ms vs 322ms, p = 0.191). This pattern indicates that the longer completion times were not due to deeper processing of individual elements (which would show longer fixation durations) but rather to a more dispersed visual search strategy — examining more elements and switching between them more frequently. The response time difference was significant across three of four page types (all except low complexity with large space), suggesting the effect is robust across different page designs. The higher number of inter-element transitions suggests the increased cognitive demand is related to how elements are spatially organized on the page and the effort required to determine each element's relevance to the task.

Relevance

This research makes a fundamental contribution to cognitive accessibility by empirically demonstrating that task completion success does not equal equal experience. High-functioning autistic web users achieve the same outcomes as neurotypical users but at a measurably higher cognitive cost — a finding with direct implications for how we define and measure web accessibility. Current accessibility evaluation focuses almost exclusively on whether users can complete tasks, not on the effort required. This study shows that for neurodivergent populations, measuring only accuracy misses significant barriers. For accessibility practitioners, the key takeaway is that web accessibility interventions for high-functioning autistic users should focus on reducing cognitive load rather than enabling task completion — these users can already complete tasks, but doing so is more effortful and exhausting. The finding that the efficiency gap is related to visual search patterns (more fixations, more element transitions) rather than deeper processing suggests that design improvements should focus on reducing visual complexity, improving the spatial organization of elements, and making the relevance of page elements more immediately apparent. The authors also make the important methodological point that existing autism-specific accessibility guidelines need empirical validation, as most are derived from diagnostic criteria rather than actual observations of web use.

Tags: autism spectrum disorder · eye tracking · cognitive accessibility · web accessibility · neurodivergence · cognitive load · visual attention · inclusive design · information searching · user study