A Questionnaire-Based Study on the Perceptions of Canadian Seniors About Cognitive, Social, and Psychological Benefits of Digital Games
Bibliographic record
Abstract
OBJECTIVE: This study explored the perceptions of seniors who play digital games on the potential benefits of these games and on the factors associated with these perceptions. MATERIALS AND METHODS: We developed and administered a questionnaire to a sample of 590 Canadian seniors in British Columbia and Quebec that addressed demographics, digital game practices, and perceived benefits. RESULTS: Results of administering the questionnaire showed that cognitive benefits were reported more frequently than social or psychological benefits. First language and gender were associated with the benefits reported, with fewer Francophones and women reporting benefits. The most important factor found was whether or not they played online, as playing online was associated with greater perceptions of social, as well as cognitive, benefits. CONCLUSION: Social and cognitive benefits are reported by seniors from playing digital games and should be investigated through future experimental and quasi-experimental research.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".