A new gaming platform to improve cognitive performance and promote healthy behavior: a pilot study
Bibliographic record
Abstract
Abstract Background Brain training games can sharpen the mind and potentially prevent cognitive diseases, that are particularly relevant to the population ageing. The EU funded project ACDC, Adult Cognitive Decline Conscientiousness, developed an online training tool to train cognitive functions and promote healthy behaviors in the adult population. Methods An online platform, consisting of 16 games with different levels, was built. Three main brain domains were targeted: memory, visuospatial and verbal skill. After the completion of each game level, healthy lifestyle tips were presented to the users. Participants were actively recruited from the project partners; inclusion criteria were adult age (40-70 years) without cognitive diseases. An adapted version of the Montreal Cognitive Assessment was used to assess cognitive performance at the start and after two hours of active gaming. The paired t-test was used to compare the scores before and after the training. A satisfaction questionnaire was administered at the end of the training session. Results Fifty-six participants from three European countries (Austria, Spain and Italy) took part in the pilot phase (median age: 57, IQR: 47-66). Most of them were university graduates (38%) or had a high school diploma (41%), employed full-time (46%) and females (82%). Significant improvements were registered in the verbal domain, where the mean score increased from 4.18 to 4.83 (p = 0.047), and in the memory area, where the mean score grew from 4.80 to 6.60 (p < 0.001). The visuospatial mean score improved from 4.55 to 5.16 (p = 0.0518). Most users (84%) were greatly satisfied with the platform and reported a high level of appreciation for the interactive gaming approach. Conclusions Despite the small sample size, the pilot phase detected some improvements in cognitive performance and a good appreciation of the training tool. Given these encouraging findings, the study will now be extended to more participants. Key messages The newly developed platform represented a promising tool to train cognitive functions. The proposed interactive gaming approach was greatly appreciated by the users.
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 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 | 0.006 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".