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Record W2911917195 · doi:10.1177/0301006619828256

Early Attentional Capture of Animate Motion: 4-Year-Olds Show a Pop-Out Effect for Chasing Stimuli

2019· article· en· W2911917195 on OpenAlexafffund
Ruth Hofrichter, M. D. Rutherford

Bibliographic record

VenuePerception · 2019
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMotion (physics)PsychologyBiological motionPreferenceCognitive psychologyPerceptionNeuroscienceComputer scienceComputer vision

Abstract

fetched live from OpenAlex

Preferential attention to animate motion develops early in life, and adults and infants are particularly attuned to chasing motion. Adults can detect chasing objects among up to 10 distractors and are better at detecting a chase among nonchasing distractors than a nonchase among chasing distractors. We tested whether an attentional preference for chasing has developed by the age of 4, and whether 4-year-olds can explicitly point out chasing objects. On a touch screen, participants were shown a chasing pair of circles among a varying number of distractors (2,4,6,8,10). Participants had to touch the chaser. Reaction time for adults or 4-year-olds was independent of distractor numbers, consistent with a pop-out effect for chasing stimuli. As early as 4 years of age, children show a pop-out effect for chasing objects and can identify them via touch.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0030.001

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 head0.020
GPT teacher head0.306
Teacher spread0.286 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2019
Admission routes2
Has abstractyes

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