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Record W2091805451 · doi:10.1080/01924788.2012.702307

Older Adults' Engagement With a Video Game Training Program

2012· article· en· W2091805451 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

VenueActivities Adaptation & Aging · 2012
Typearticle
Languageen
FieldPsychology
TopicFlow Experience in Various Fields
Canadian institutionsMcGill University
FundersNational Institute on AgingUniversity of Florida
KeywordsBoredomPsychologyVideo gameHonorAnxietyGame playApplied psychologySocial psychologyMultimediaComputer science

Abstract

fetched live from OpenAlex

The current study investigated older adults' level of engagement with a video game training program. Engagement was measured using the concept of flow (Csikszentmihalyi, 1975 Csikszentmihalyi, M. 1975. Beyond boredom and anxiety, San Francisco: Jossey-Bass. [Google Scholar]). Forty-five older adults were randomized to receive practice with an action game (Medal of Honor), a puzzle-like game (Tetris), or a gold-standard useful field of view (UFOV) training program. Both Medal of Honor and Tetris participants reported significantly higher flow ratings at the conclusion, relative to the onset of training. Participants are more engaged in games that can be adjusted to their skill levels and that provide incremental levels of difficulty. This finding was consistent with flow theory (Csikszentmihalyi, 1975 Csikszentmihalyi, M. 1975. Beyond boredom and anxiety, San Francisco: Jossey-Bass. [Google Scholar]).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.333
Threshold uncertainty score0.980

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 studies0.0000.000
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 head0.047
GPT teacher head0.325
Teacher spread0.278 · 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