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Record W2335450992 · doi:10.1037/a0037187

Judging joint angles and movement outcome: Shifting the focus of attention in dart-throwing.

2014· article· en· W2335450992 on OpenAlexaff
David E. Sherwood, Keith R. Lohse, Alice F. Healy

Bibliographic record

VenueJournal of Experimental Psychology Human Perception & Performance · 2014
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFocus (optics)ThrowingOutcome (game theory)PsychologyMovement (music)DartCognitive psychologyArtificial intelligenceComputer sciencePhysical medicine and rehabilitationSimulationMathematicsOpticsPhysicsEngineeringAcousticsMedicineAeronautics

Abstract

fetched live from OpenAlex

Many research studies have shown the advantage of an external focus of attention (FOA) relative to an internal focus for motor learning and performance when the focus is explicitly instructed. The current experiments varied the FOA by asking the participants to judge either joint angles (internal probes) or spatial accuracy (external probes) following dart throws in which vision was removed. The probes were administered without prior practice (Experiment 1) or following 432 practice trials (Experiment 2). Spatial errors and trial-to-trial variability were reduced in Experiment 2 compared with Experiment 1. In both experiments, spatial errors were greater during internal probes compared with external probes or a no-probe control condition. These data suggest that the advantages of an external FOA relative to an internal FOA are not fully attributable to visual processing and that these advantages can be attained using probing questions between trials, whereas previous research has explicitly instructed the FOA.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.184
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.055
GPT teacher head0.381
Teacher spread0.326 · 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.

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

Citations34
Published2014
Admission routes1
Has abstractyes

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