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Record W4398266353 · doi:10.5539/ijps.v16n2p53

Activation of the Frontal Pole Using Children’s Video Games: Support for Children’s Well-being

2024· article· en· W4398266353 on OpenAlexvenueno aff
Nobuki Watanabe

Bibliographic record

VenueInternational Journal of Psychological Studies · 2024
Typearticle
Languageen
FieldPsychology
TopicCognitive Abilities and Testing
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyDevelopmental psychologySocial psychologyCommunication

Abstract

fetched live from OpenAlex

Effective support intended to promote children’s well-being has gained scholarly attention worldwide. Well-being is composed of complex elements. Of these elements, the promotion of executive function, which coordinates cognitive activities, via an effective method is important. Regarding the frontal pole in the anterior part of the prefrontal cortex, scholars presume that it is involved in advanced abilities, such as metacognition, and is essential for well-being. In today’s digital society, video games are appealing to children. Thus, a possibility exists that children can achieve certain aspects of well-being, such as a sense of achievement, perseverance, and happiness, by playing video games. In this regard, evidence that video games can be used to activate the prefrontal cortex is accumulating. In light of this discussion, this study hypothesizes that playing video games may affect the frontal pole and analyzes the brain activation of the frontal pole using video games compared with a mental abacus activity. The results demonstrate that playing through an educational game called Big Brain Academy: Brain vs. Brain exhibited more activation potential than mental abacus in many points.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.500

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.062
GPT teacher head0.407
Teacher spread0.345 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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