Evidence map›Paper›PMID 38992321›Full record

ArticleAttention, perception & psychophysics2024

Non-symbolic estimation of big and small ratios with accurate and noisy feedback.

Nicola J Morton, Matt Grice, Simon Kemp, Randolph C Grace

Abstract read
In one paragraph

Article in Attention, perception & psychophysics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Nicola J MortonSchool of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand. nicky.morton@canterbury.ac.nz.
Matt GriceSchool of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand.
Simon KempSchool of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand.
Randolph C GraceSchool of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand. randolph.grace@canterbury.ac.nz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ratio of two magnitudes can take one of two values depending on the order they are operated on: a 'big' ratio of the larger to smaller magnitude, or a 'small' ratio of the smaller to larger. Although big and small ratio scales have different metric properties and carry divergent predictions for perceptual comparison tasks, no psychophysical studies have directly compared them. Two experiments are reported in which subjects implicitly learned to compare pairs of brightnesses and line lengths by non-symbolic feedback based on the scaled big ratio, small ratio or difference of the magnitudes presented. Results of Experiment 1 showed all three operations were learned quickly and estimated with a high degree of accuracy that did not significantly differ across groups or between intensive and extensive modalities, though regressions on individual data suggested an overall predisposition towards differences. Experiment 2 tested whether subjects learned to estimate the operation trained or to associate stimulus pairs with correct responses. For each operation, Gaussian noise was added to the feedback that was constant for repetitions of each pair. For all subjects, coefficients for the added noise component were negative when entered in a regression model alongside the trained differences or ratios, and were statistically significant in 80% of individual cases. Thus, subjects learned to estimate the comparative operations and effectively ignored or suppressed the added noise. These results suggest the perceptual system is highly flexible in its capacity for non-symbolic computation, which may reflect a deeper connection between perceptual structure and mathematics.

Indexed as

Pattern Recognition, VisualAdultFemaleHumansJudgmentMalePsychophysicsSize PerceptionYoung AdultMath modellingPerceptual learningSimilarity

Identifiers

PMID38992321
PMCPMC11410853

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.