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Record W2617804028 · doi:10.1037/xhp0000429

Are goal states represented during kinematic imitation?

2017· article· en· W2617804028 on OpenAlexaff
Geoff G. Cole, Mark A. Atkinson, Antonia Danila Clara D'Souza, Timothy N. Welsh, Paul A. Skarratt

Bibliographic record

VenueJournal of Experimental Psychology Human Perception & Performance · 2017
Typearticle
Languageen
FieldPsychology
TopicAction Observation and Synchronization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAction (physics)KinematicsCognitive psychologyTask (project management)WorkspaceComputer scienceImitationObserver (physics)PsychologyMovement (music)CommunicationHuman–computer interactionArtificial intelligenceSocial psychologyRobot

Abstract

fetched live from OpenAlex

A number of studies have shown that observation of another person's actions can modulate one's own actions, such as when 2 individuals cooperate in order to complete a joint task. However, little is known about whether or not direct matching of specific movements is modulated by the goals of the actions observed. In a series of 7 experiments, we employed an action observation paradigm in which 2 coactors sat opposite each other and took turns to reach out to targets presented on a shared workspace. Importantly, coactors performed either the same goal at the reached-to location or a different goal. Although results consistently showed that the reaching action of 1 individual slows the observer's reaching action to the same spatial location, the effect was not modulated according to the adopted goals of coactors. These findings challenge the notion that the processes involved in the imitation of specific movements code for the action goals of those movements. (PsycINFO Database Record

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.994

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.075
GPT teacher head0.428
Teacher spread0.352 · 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

Citations13
Published2017
Admission routes1
Has abstractyes

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