Rhyme Recognition

Platform: Unity · French, Italian · verified 70d ago

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Description

As part of the CRAB (Computerized Reading-related Assessment Battery), the Rhyme Recognition task assesses rime-level phonological awareness by requiring children to determine whether pairs of spoken words share a common rime unit. This digital-based task indexes phonological sensitivity at a coarse grain size, for which associations with early reading acquisition have been reported in the developmental literature, particularly in relation to the emergence of phonological decoding skills. The task is available in three parallel forms (A, B, C) of matched difficulty, designed to reduce test-retest and familiarization confounds in longitudinal assessments.

Contact & Lab

Lab

Brain and Learning Lab

unige.ch

Principal investigator

Daphné Bavelier

University of Geneva

Task contact

Angela.Pasqualotto@unige.ch

Contributors

Angela Pasqualotto

University of Geneva

Conceptualization

Hugo Farajallah

University of Geneva

Software

Zeno Menestrina

University of Geneva

Software

Citation

Bradley, L., & Bryant, P. E. (1983). Categorising sounds and learning to read: a causal connection. Nature, 301, 419–421. https://doi.org/10.1038/301419a0

Credits

Developed at the Brain and Learning Lab (University of Geneva) under Angela Pasqualotto (task conception) and Zeno Menestrina (software developer) as part of the CRAB (Computerized Reading-related Assessment Battery) project. Software updated by Hugo Farajallah and Zeno Menestrina (2025). Adapted from Unity to HTML/JS by Hugo Farajallah in 2026.

Domains

Auditory Processing

Psycholinguistics

Part of suite:

CRAB

Target Population

Age Categories

primary

Clinical Status

non-clinical

Additional Notes

Children learning to read

Languages

French

Italian

Run under

Engine

Unity

Operating system

Windows · Mac · Android

Format

Online + in-lab

Modalities

behavioral

Task Outputs

What it measures

Rime-level phonological awareness (shared-rime judgement)

Output formats

custom

Unity WebGL internal data collection

Experimental design

Trial-based

Conditions

is_rhyme

true

false

— Whether the word pair rhymes

Key measures for analysis

Accuracy by rhyme status
Mean RT for rhyming vs. non-rhyming pairs
d' (sensitivity) for rhyme detection

Recorded variables

Variable	Role	Type	Description	Unit
`trial_id`	metadata	number	Unique trial identifier	-
`word_1`	independent	string	First word in the pair	-
`word_2`	independent	string	Second word in the pair	-
`is_rhyme`	independent	boolean	Whether the pair rhymes	-
`response`	dependent	boolean	Participant's rhyme judgment	-
`accuracy`	dependent	boolean	Whether the response was correct	-
`rt`	dependent	number	Reaction time	ms

Provenance

Source: nccr-seed

Fetched: 2025-11-17

Last verified: 2026-05-08 — passed

Other tasks in this suite

CRAB

Barrage

Corsi Block-Tapping

Multiple Object Tracking

Vocabulary

Visual Orthography

Decoding

Phoneme Deletion

Text Reading

Quick Actions

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Web build

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Additional Information

Created Date

2025-11-17

Last Modified

2026-05-08