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Record W4323924731 · doi:10.31234/osf.io/3d4ea

Reading without eye movements: Improving reading comprehension in young adults with Attention-Deficit/Hyperactivity Disorder (ADHD)

2023· preprint· en· W4323924731 on OpenAlexafffund
Simar Moussaoui

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEye movementRapid serial visual presentationReading (process)ComprehensionReading comprehensionPsychologyCognitive psychologyCognitionNeurotypicalComputer scienceDevelopmental psychologyLinguisticsAutismNeuroscience

Abstract

fetched live from OpenAlex

Impaired reading comprehension is a common complaint in ADHD that is accompanied by altered eye movement patterns. Here we tested whether minimizing the need for eye movements during reading aids comprehension. We measured reading comprehension in a sample of undergraduate students with and without ADHD using normal text reading with all words fully visible (FULL), PACED reading that preserved text layout with one word at a time appearing at its usual location in the text, and reading with minimal eye movements in which one word at a time appeared in the center of the screen in a rapid serial visual presentation (RSVP). ADHD participants benefited from RSVP by almost 13% relative to neurotypical controls, who showed comprehension difficulties using the RSVP mode. Minimizing eye movement boosted reading comprehension in the ADHD adults. Our results suggest that eye movements can be disruptive to cognitive processes in ADHD. Future work should explore the possibility of RSVP as a reading aid in ADHD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.319
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

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