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Record W3128617893 · doi:10.1080/00221325.2021.1880362

Search for the Developmental Turning Point in Perceptual-Attentional Processing in the Confusion between Fear and Surprise

2021· article· en· W3128617893 on OpenAlexafffund
Adèle Gallant, Annie Roy‐Charland

Bibliographic record

VenueThe Journal of Genetic Psychology · 2021
Typearticle
Languageen
FieldNeuroscience
TopicFace Recognition and Perception
Canadian institutionsUniversité de Moncton
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSurprisePsychologyPerceptionConfusionEye movementCognitive psychologyVisual perceptionTurning pointDevelopmental psychologySocial psychologyPeriod (music)

Abstract

fetched live from OpenAlex

This project examined viewing times and saccades while participants recognize fear and surprise presented in pairs within groups. Roy-Charland, Perron, Young, Boulard, and Chamberland (2015 Roy-Charland, A., Perron, M., Young, C., Boulard, J., & Chamberland, J. A. (2015). The confusion of fear and surprise: A developmental study of the Perceptual-Attentional Limitation Hypothesis using eye movements. The Journal of Genetic Psychology, 176(5), 281–298. doi:10.1080/00221325.2015.1066301[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) found that children ages 9–11 were as accurate as adults in recognizing the emotions, and both groups were higher than children ages 3–5. Interestingly, the two groups of children made fewer saccades between the pair of faces and viewed the expressions longer than the adult group. Thus, while accuracy is equal to adults by ages 9–11, visual processing differs. This project added a group of adolescents (14–17) in search of a turning point in visual strategies used in the perceptual-attentional processing of fear and surprise. Results suggest a speed/accuracy tradeoff. In effect, adolescents were as fast as adults, but their accuracy was lower. Furthermore, adolescents made fewer saccades than adults, similar to groups aged 3–5 and 9–11 years old. These results add another piece in the understanding of the developmental trajectory of recognition of facial expressions.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.918
Threshold uncertainty score0.156

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.120
GPT teacher head0.379
Teacher spread0.258 · 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 teacher head, 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

Citations5
Published2021
Admission routes2
Has abstractyes

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