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Record W1447321998 · doi:10.1167/15.12.842

Driving a rotating Necker Cube: context position matters

2015· article· en· W1447321998 on OpenAlexaff
Marouane Ouhnana, Frederick A. A. Kingdom

Bibliographic record

VenueJournal of Vision · 2015
Typearticle
Languageen
FieldEngineering
TopicSpatial Cognition and Navigation
Canadian institutionsMcGill University
Fundersnot available
KeywordsCube (algebra)Context (archaeology)Eccentricity (behavior)DiagonalRotation (mathematics)GeometryPerceptionMathematicsPsychologyGeologySocial psychology

Abstract

fetched live from OpenAlex

Aim. Previously we reported that the relative rotation speeds of an ambiguous Necker cube and the context figure that triggered its reversals was not important for the strength of correlation between the two objects’ reversals. Here we examine whether their relative positions are important. Method. The context figure was an unambiguous skeleton cube that rotated at the same speed as the ambiguous Necker cube. The two figures were presented on either side of a fixation cross at 2.86 degrees of eccentricity, along the horizontal (0,180 deg), vertical (90, 270 deg) and diagonal (45, 135, 225, 315 deg) axes that connected the figures. Observers indicated via button press the direction of rotation of the Necker cube during each 32s trial. The data was subject to a type of reverse correlation analysis to establish the correlation between the motion reversals of the context and Necker cube. Results. Strongest contextual influences were observed when the context figure was directly below the Necker cube. Conclusion. These results are consistent with the idea that perceived frictional relationships are important for the perception of rotating reversible figures. Meeting abstract presented at VSS 2015

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.209

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)0.0000.000

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 head0.014
GPT teacher head0.267
Teacher spread0.253 · 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 designSimulation or modeling
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
Published2015
Admission routes1
Has abstractyes

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