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Record W2060788528 · doi:10.1167/8.6.47

Integration of object-centered and viewer-centered visual information in an open-loop pointing task

2010· article· en· W2060788528 on OpenAlexaff
Patrick Byrne, Shelley Pallan, Xiang Yan, D. Crawford

Bibliographic record

VenueJournal of Vision · 2010
Typearticle
Languageen
FieldComputer Science
TopicVisual Attention and Saliency Detection
Canadian institutionsYork University
Fundersnot available
KeywordsStimulus (psychology)GazePsychologyStimulus modalitySensory systemEye movementCommunicationCognitive psychologyComputer visionAudiologyComputer scienceNeuroscience

Abstract

fetched live from OpenAlex

Investigations on the relative contribution of object-centered (allocentric) and viewer-centered (egocentric) visual information to motor behaviour often have focused on determining which of these sources of information predominate, and under which circumstances. In contrast, multi-sensory integration studies have shown that information from different sensory modalities is combined based on reliability estimates for each modality. We sought to determine if a similar process is applied to egocentric and allocentric visual information in an open-loop pointing task. METHOD: Head-restrained, gaze-fixated subjects were presented briefly with a peripheral visual stimulus consisting of a to-be-remembered yellow dot surrounded by an array of four vibrating blue dots (allocentric stimulus) situated at the vertices of an invisible square. During a delay period subjects made controlled eye movements. After a brief reappearance of the allocentric stimulus without the to-be-remembered yellow dot, subjects made a pointing response to indicate the remembered location of the yellow dot. In order to tease apart the contribution of egocentric and allocentric cues, the allocentric stimulus was shifted randomly by three degrees from presentation to test, thus introducing cue-conflict. The vibration amplitude of the allocentric stimulus and the eye movement amplitude were varied randomly between two fixed levels each from trial to trial in order to control the reliability of allocentric and egocentric information, respectively. PREDICTION: Based on multisensory integration findings, we predicted that lower vibration and higher eye movement amplitude would bias pointing results towards a position consistent with the shifted allocentric stimulus, while larger vibration and smaller saccade amplitudes would have the opposite effect. RESULTS: For small eye movement conditions mean pointing responses were biased as expected according the vibration amplitude of the allocentric stimulus. However, mean pointing responses were halfway between the two locations and indistinguishable from one another for both vibration amplitude conditions when eye movement amplitude was large.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.646
Threshold uncertainty score0.389

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 communication0.0000.005
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 head0.022
GPT teacher head0.337
Teacher spread0.315 · 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 designBench or experimental
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
Published2010
Admission routes1
Has abstractyes

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