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Record W2604076290 · doi:10.1037/xhp0000362

The role of predictability in cooperative and competitive joint action.

2017· article· en· W2604076290 on OpenAlexafffund
Scott Glover, Peter Dixon

Bibliographic record

VenueJournal of Experimental Psychology Human Perception & Performance · 2017
Typearticle
Languageen
FieldPsychology
TopicAction Observation and Synchronization
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPredictabilityAction (physics)Task (project management)Competition (biology)Cognitive psychologyEntrainment (biomusicology)PsychologyAnticipation (artificial intelligence)SchematicPsycINFOComputer scienceSocial psychologyEconomicsArtificial intelligenceMathematicsEngineering

Abstract

fetched live from OpenAlex

Predictability may be an important component of cooperative action, or it may arise as a by-product of involuntary entrainment with another's behavior. Further, differences previously observed in cooperative versus competitive actions may represent a fundamental distinction between behaviors with opposite goals, or they may simply reflect the output of different physical actions. The role of predictability in cooperative versus competitive behavior was directly tested using a joint sequential button-pressing task in which Participant 1 (P1) pressed a key followed by P2 pressing a key. In the cooperative condition, both actors shared the goal of minimizing P2's response times (RTs). In the competitive condition, P1 tried to maximize P2's RTs, whereas P2 continued to try to minimize them. It was found that P1 was much more predictable in the timing of his or her presses in the cooperative condition than in the competitive condition, and this coincided with faster P2 responses when cooperating than when competing. A 2nd experiment showed the effects of the predictability of P1's responses on the speed of P2 responses were similar when P1 was replaced by a schematic hand, showing the responses could not have been due to the transmission of subtle nonverbal cues by P1. These results demonstrate that being predictable is an important strategy in the timing of cooperative joint action, whereas being unpredictable is an important strategy in competition, and that they have opposite effects on a coactor's ability to respond quickly. (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)0.001
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 score0.316
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.070
GPT teacher head0.406
Teacher spread0.336 · 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

Citations23
Published2017
Admission routes2
Has abstractyes

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