No evidence for high inflexible precision of prediction errors in autism during lexical processing.
Autistic readers handle letter swaps and meaning shifts just like non-autistic peers—no sign of overly rigid prediction coding.
01Research in Context
What this study did
Howard et al. (2023) asked whether autistic readers build overly exact predictions while they read. They showed short word sets to autistic and non-autistic adults. Some words had swapped letters (like 'jugde' for 'judge'). Other sets held words from one topic to test meaning-based guessing.
Eye trackers recorded how long each reader looked at every word. If autistic people use stricter prediction rules, they should slow down more on the mixed-up or off-topic words.
What they found
Both groups slowed the same amount on swapped letters and on topic shifts. The data showed no extra 'precision' in the autistic readers' guesses.
The result counts against the idea that autism always brings ultra-exact prediction errors.
How this fits with other research
Two newer studies back up this null. Feng et al. (2025) found no boost in prediction-error weight when autistic teens adapted to new gaze directions. Qi et al. (2025) reviewed ten language papers and saw only weak, task-specific prediction use in autism. All three papers chip away at the 'high precision' claim.
Yet Zhao et al. (2024) muddies the water. They saw impaired linguistic prediction in Mandarin-speaking autistic adults but intact musical prediction, while English speakers looked typical. Mixed findings like this warn us that language background, task type, or even musical training can flip the result.
Taken together, the field now shows: autistic people can predict, sometimes do, sometimes don't, but they rarely show the 'hyper-precise' style the theory expected.
Why it matters
Stop assuming every autistic client will over-focus on tiny details during reading or verbal tasks. Instead, test each learner: present a quick letter-order or cloze exercise and watch reaction times. If the client slows like peers, teach with normal text variations. If they show unique patterns, adjust cues, but don't default to 'too precise' explanations. Use clear semantic prompts first; save fine-grained error drills only for those who need them.
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02At a glance
03Original abstract
Research has shown that information processing differences associated with autism could impact on language and literacy development. This study tested an approach to autistic cognition that suggests learning occurs via prediction errors, and autistic people have very precise and inflexible predictions that result in more sensitivity to meaningless signal errors than non-autistic readers. We used this theoretical background to investigate whether differences in prediction coding influence how orthographic (Experiment 1) and semantic information (Experiment 2) is processed by autistic readers. Experiment 1 used a lexical decision task to test whether letter position information was processed less flexibly by autistic than non-autistic readers. Three types of letter strings: words, transposed letter and substituted letters nonwords were presented. Experiment 2 used a semantic relatedness task to test whether autistic readers processed words with high and low semantic diversity differently to non-autistic readers. Results showed similar transposed letter and semantic diversity effects for all readers; indicating that orthographic and semantic information are processed similarly by autistic and non-autistic readers; and therefore, differences in prediction coding were not evident for these lexical processing tasks.
Autism research : official journal of the International Society for Autism Research, 2023 · doi:10.1002/aur.2994