Visual Exploration in Autism Spectrum Disorder: Exploring Age Differences and Dynamic Features Using Recurrence Quantification Analysis.
Recurrence quantification analysis of free-play eye-tracking gives age-sensitive scores that line up with parent-reported repetitive behaviors in autism.
01Research in Context
What this study did
Researchers used eye-tracking and a new math tool called recurrence quantification analysis (RQA). They watched how kids with autism and typical kids looked around a room full of toys.
The team wanted fresh numbers that change with age and link to repetitive behaviors parents notice at home.
What they found
Kids with autism looked at fewer toys and stayed longer on toys that match autism interests. The new RQA scores told the groups apart and rose or fell with parent ratings of repetitive actions.
Older and younger kids showed different RQA patterns, so age matters when you interpret the scores.
How this fits with other research
Zhao et al. (2026) ran the same RQA math on toddlers who watched a singing video. They also saw weaker gaze-sync in autism, but they tested toddlers, not mixed ages, and used a song instead of free play. The two studies echo each other and widen the age range where RQA works.
Ma et al. (2021) pooled many eye-tracking papers in a meta-analysis. They found less eye-looking in autism at every age, but their data used simple fixation counts, not RQA. The new study adds finer motion patterns that standard metrics miss.
Wang et al. (2023) took a different nonlinear path. They used fractal dimension and Hurst exponent on joint-attention gaze data and reached 82% accuracy. RQA now gives you another nonlinear option that works during free exploration, not just structured tasks.
Why it matters
You can add a 30-second free-play eye-tracking clip to your assessment and get RQA scores that line up with parent reports. The numbers flag autism risk across ages and may catch repetitive styles that old fixation metrics overlook. Try it next time you want quick, objective support for your clinical impression.
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02At a glance
03Original abstract
Eye-tracking studies have demonstrated that individuals with autism spectrum disorder sometimes show differences in attention and gaze patterns. This includes preference for certain nonsocial objects, heightened attention to detail, and more difficulty with attention shifting and disengagement, which may be associated with restricted and repetitive behaviors. This study utilized a visual exploration task and replicates findings of reduced number of objects explored and increased fixation duration on high autism interest objects in a large sample of individuals with autism spectrum disorder (n = 129, age 6-54 years) in comparison with a typically developing group. These findings correlated with parent-reported repetitive behaviors. Additionally, we applied recurrent quantification analysis to enable identification of new eye-tracking features, which accounted for temporal and spatial differences in viewing patterns. These new features were found to discriminate between autism spectrum disorder and typically developing groups and were correlated with parent-reported repetitive behaviors. Original and novel eye-tracking features identified by recurrent quantification analysis differed in their relationships to reported behaviors and were dependent on age. Trial Registration: NCT02299700. Autism Research 2018, 11: 1554-1566. © 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Using eye-tracking technology and a visual exploration task, we showed that people with autism spectrum disorder (ASD) spend more time looking at particular kinds of objects, like trains and clocks, and look at fewer objects overall than people without ASD. Where people look and the order in which they look at objects were related to the restricted and repetitive behaviors reported by parents. Eye-tracking may be a useful addition to parent reports for measuring changes in behavior in individuals with ASD.
Autism research : official journal of the International Society for Autism Research, 2018 · doi:10.1002/aur.2021