Wii Fit U intensity and enjoyment in adults
Bibliographic record
Abstract
BACKGROUND: The Wii Fit series (Nintendo Inc., Japan) provides active video games (AVGs) to help adults to maintain a sufficient level of daily physical activity (PA). The second generation of home AVG consoles is now emerging with new game modalities (including a portable mini screen in the case of the new Wii U). The present study was performed to investigate the intensity and enjoyment of Wii Fit U games among adults. FINDINGS: Metabolic equivalent (METs, i.e., intensity) of the Wii Fit U activities were evaluated using metabolic chambers in 16 sedentary adults (8 women and 8 men). A short version of the physical activity enjoyment scale was completed for each activity. Wii Fit U activities were distributed over a range from 2.2 ± 0.4 METs (Hula dance) to 4.7 ± 1.2 (Hip-hop dance). Seven activities were classified as light-intensity PA (<3 METs) and 11 activities as moderate-intensity PA (3 - 6 METs). The new portable mini screen game modality does not induce higher METs. Men exercised at higher intensities than women. There was no correlation between enjoyment and MET values in women or men. CONCLUSIONS: More and more moderate-intensity activities are available through video gaming, but the average intensity (3.2 ± 0.6) is still low. Users should be aware that AVGs alone cannot fulfill the recommendations for PA, and the video games industry still must innovate further to enhance gaming intensity and make the tool more attractive to health and fitness professionals.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".