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Record W3000002674 · doi:10.1111/nyas.14295

A new look at the cognitive neuroscience of video game play

2020· review· en· W3000002674 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2020
Typereview
Languageen
FieldPsychology
TopicCognitive Abilities and Testing
Canadian institutionsBrock University
Fundersnot available
KeywordsVideo gameEntertainmentCognitionAction (physics)PsychologyPerceptionCognitive neuroscienceGame mechanicsCognitive psychologyCognitive loadMultimediaComputer scienceNeuroscience

Abstract

fetched live from OpenAlex

A growing body of literature has investigated the effects of playing video games on brain function and behavior. One key takeaway from this literature has been that not all entertainment video games are created equal with respect to their effects on cognitive functioning. The majority of the research to date has contrasted the cognitive impact of playing first- or third-person shooter games (together dubbed "action video games") against the effects of playing other game types. Indeed, when the research began in the late 1990s, action video games placed a load upon the perceptual, attentional, and cognitive systems in a manner not seen in other video games. However, the video game industry has shifted dramatically over the intervening years. In particular, first- and third-person shooter games are no longer unique in the extent to which they load upon cognitive abilities. Instead, a host of other game genres appear to place similar degrees of load upon these systems. This state of affairs calls for a paradigm shift in the way that the cognitive neuroscience field examines the impact of video game play on cognitive skills and their neural mediators-a shift that is only just now slowly occurring.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.962
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0000.001
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 head0.266
GPT teacher head0.440
Teacher spread0.173 · 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